Category: Technology

In this AI-driven generation, the importance and relevance of artificial intelligence can’t be neglected. With AI tools such as Midjourney and ChatGPT becoming an integrated part of the tech industry, a career in AI is becoming a lucrative option.

If you are still thinking of how to start a career in AI or how to become an AI engineer, then this is the one-stop guide for you. We will be covering every aspect of AI from scratch and covering the right skills to launch a career in AI.

What does AI or artificial intelligence mean?

Artificial intelligence, popularly known as AI, is a distinct branch of computer science that deals with creating tools to perform certain tasks that would usually be dependent on human intelligence. From comprehending natural language to analysing user behaviours and making data-driven decisions, these tasks make all of these easier. AI is a broad subject with a lot of subfields. We’ll look at these subfields now; this knowledge will guide how to start a career in AI.

• Artificial Super Intelligence (ASI): This is the ultimate stage of AI. It refers to the situation where AI will emerge greater than human intelligence in almost every economic sector. This concept will take time to get implemented.

• Artificial Narrow Intelligence (ANI): This is the most used branch of AI today. ANI is primarily focused on performing a single task at a time, like voice recognition or personalised recommendations on streaming platforms based on user behaviour.
• Artificial General Intelligence (AGI): AGI has the prowess to study, analyse, and implement expertise across many human-oriented tasks and fields. A tool like ChatGPT is one of the leading examples of AGI.

Professionals belonging to the IT sector thinking of starting a career in artificial intelligence, have a great number of options. For those confused about how to become an AI engineer or how to start a career in artificial intelligence, the following career paths along with their dedicated skill sets will give more clarity.

AI Engineer

The role of AI engineers is to create, build, and implement AI systems. Those who are eager to know how to become an AI engineer, have a thorough knowledge of programming languages like R, Python, and Java, and also have expertise in machine learning frameworks like PyTorch. AI engineers have to focus on creating algorithms and come up with AI solutions to meet specific business needs.

AI Ethicist

As AI continues to grow rapidly, there is a huge demand for professionals who can adhere to ethical conduct and ensure the proper development and deployment of AI. AI Ethicists define ethical guidelines on which AI should function and study the impact of AI on society. This is a great career option for those who are thinking about how to start a career in AI.

Machine Learning Engineer

These engineers primarily create and implement algorithms and systems based on machine learning. Their roles include data analysis, model training and evaluation, and feature engineering. Knowing R or Python is essential for this job.

AI Solutions Architect

The primary job of AI solutions architects is to create and exercise AI-driven solutions that cater to certain business needs. This job is more collaborative-oriented; they need to work with cross-functional teams to determine business needs, recognise AI opportunities and create scalable AI architects. Having great problem-solving skills along with a background in system design fits the best for this job profile.

Data Scientist

For those who are looking for answers on how to start a career in AI, the most popular careerpath is that of a data scientist. This job role requires proficiency in analysing statistics, and implementing machine learning techniques. They should also know data mining algorithms to determine patterns from a pool of data sets. Having experience in data manipulation and impressive analytical skills along with machine learning are the key skill sets required for this role.

AI Product Manager

AI product managers manage the creation and implementation of AI-driven services and solutions. To provide superior AI solutions, they work with engineering groups to establish the product goal, evaluate attributes, and define features. For this position, one must have outstanding communication abilities, business skills, and a technical understanding of AI.

AI Research Scientist

Researchers working to further the understanding of artificial intelligence are known as AI research scientists. Their tasks include creating fresh computations, refining current models, and investigating creative uses for artificial intelligence. For this position, one must have a solid foundation in mathematical theory, computer science, and machine learning, in addition to academic experience and the ability to think critically.

Important AI Tools and Packages

Acquiring skills in the right tools and packages is vital to launching a career in artificial intelligence. Python and R are the two most in-demand languages in the market. You specifically don’t need to learn both to succeed in AI. In this portion, we wil explore the major Python tools and packages that will further clear your doubts about how to start a career in AI.

Major Python AI tools and packages

Python is a programming language that interprets code at an advanced level and is renowned for its clarity and versatility. Because of its straightforward syntax and the abundance of data science and AI resources available, it is frequently employed in artificial intelligence.

pandas 

A Python package called pandas offers a variety of tools for studying data. pandas is a tool used by data analysts for activities such as statistical evaluation, data alteration, and data cleansing. It is an important tool for preparing databases since it performs effectively with clogged, unfinished, and unlabeled information.

LangChain

Currently, LangChain is among the most widely used artificial intelligence platforms. It enables developers to incorporate AI derived from big language models into programs and information pipelines. 

Scikit-Learn

A straightforward and effective tool for data exploration and machine learning, Scikit-Learn is based on matplotlib, SciPy, and NumPy. It is open-source, which means anybody may use it for free. Numerous techniques for grouping, modelling, categorisation, and dimensionality reduction are included.

Keras

Python-based Keras is a simple-to-operate artificial intelligence library. It provides a simple method for neural network modelling and is designed to reduce the time between concepts and functional models. In addition, Keras is adaptable, which greatly expands its potential for creating fresh models.

Hugging Face

Once users gain experience, they can easily use GPUs and TPUs by exploring models that have been trained with popular Python packages like Hugging Face’s transformers and accelerate.

NumPy

NumPy, aka Numerical Python, is an extension of Python that offers extensive functionality for handling big, complex arrays and matrices. It also provides a vast variety of sophisticated mathematical algorithms that can be employed for these arrays. Any computation used in science, notably AI, requires a library like this.

PyTorch

A free neural network library called PyTorch is built based on the Torch library. Systems like artificial neural networks and natural language processing employ it. Its quickness and versatility make it ideal for learning-based studies, which is its greatest asset.

How to Start a Career in AI: Required Skills

It is quite tempting and intriguing to know about the varied possibilities of AI. Here is a set of skills and tips that will give all the answers on how to start a career in AI.

Learn Programming Skills

Competence in programming languages is essential for anyone hoping to work in artificial intelligence. Python’s ease of use, adaptability, and abundance of AI and deep learning tools make it the preferred language for developing AI applications. Furthermore, based on the user’s particular area of expertise within AI, proficiency with programs like C++, Java, or R may be advantageous.

Specialisation in One Filed

Artificial Intelligence is a broad, interdisciplinary field that includes imaging, automation, machine learning, and other areas. Decide which AI fields most fascinate and excite the most, then concentrate on learning and developing specialised abilities and expertise in those fields. In addition to helping users stand out from the competitors, specialisation leads to more prospects in specialised jobs.

Learn Soft Skills

Good interactions, problem-solving, and collaborative abilities are also very important in AI positions, alongside technical expertise. Companies look for applicants who can work in interdisciplinary teams, express complicated ideas well, and adjust to changing circumstances. 

Know the Basics

Establishing a solid knowledge base is crucial before delving into the complexity of artificial intelligence. Learn about important ideas, including visual computing, natural language processing (NLP), neural nets, artificial intelligence, and deep learning. Enrolling in a generative AI course can also help in mastering the basics of AI.

Gain Experience through Internships

Before landing the first AI gig, it might be necessary to start with entry-level jobs or internships to obtain real-world skills and access to the industry. Look for internships or entry-level positions in startups, academic institutes, and businesses that are focused on artificial intelligence. 

The Best AI Certifications

We have covered extensively how to start a career in AI, in this blog. Now it is time to talk about the top 3 AI certifications that will guarantee a breakthrough in the AI industry. The certifications are as follows:

AWS Certified Machine Learning

This certification, offered by Amazon Web Services (AWS), verifies the user’s ability to design, implement, launch, and sustain ML services on AWS. It covers a wide range of machine learning principles, including feature engineering, data science, model development, and optimisation.

Microsoft Certified Azure AI Engineer Associate

This Microsoft certification confirms that users can design and execute AI solutions using Microsoft Azure. It includes a variety of AI services offered by Azure, such as cognitive services, ML and NLP.

AI Fundamentals (AI-901)

The AI-900 Microsoft Azure AI Fundamentals certification offers a thorough overview of AI in the Azure environment. This course covers key AI topics and Azure AI services, giving students a solid understanding of neural networks, image processing, natural language processing, and data analytics.

Summing Up

Artificial intelligence is not far behind in changing the entire landscape of the tech industry. And in this rapidly changing tech world, acquiring knowledge of AI and its various tools will be a great boost for professionals, especially those with mathematics and computer science backgrounds. We hope that this blog has adequaltely answered the pertinent question of how to launch a career in AI.

Enroll in Imarticus’ Advanced Certificate Programme in Generative AI in Association with E&ICT Academy, IIT Guwahati to launch a career in artificial intelligence.

Frequently Asked Questions

Who will benefit from learning AI?
AI can benefit anyone. AI is completely revolutionising decision-making and problem-solving. Professionals apart from software engineers and data analysts can benefit from AI as well.

What are the skills required to learn AI?
Thorough knowledge of linear algebra, probability, Python, data science, data manipulation, and machine learning can help one learn AI faster.

Why is learning AI beneficial now?
AI is a fast-growing sector with exceptionally high pay and is intellectually challenging. So, to sum up, it is the call of the hour.

Is it possible to get a job in AI without a degree?
Yes, a degree is not a mandate for a job in AI. Learning more about AI and its latest trends and sharing works on platforms like LinkedIn can attract high-paying jobs.

Vulnerability scanning proactively identifies weaknesses in your systems, akin to inspecting any other defence systems for hidden loopholes and vulnerabilities before attackers exploit them. Unpatched vulnerabilities are entry points for cyberattacks, potentially leading to data breaches, financial losses, and reputational damage.

Choosing the right vulnerability scanning tools is crucial, as different tools excel at specific areas like web applications or network infrastructure. A well-suited scanner strengthens your overall cybersecurity posture.

Adapting to the Evolving Threat Landscape With Vulnerability Scanning Tools

The cyber threat landscape is a constant arms race. Attackers develop new exploits, particularly zero-day vulnerabilities unknown to security vendors. Effective vulnerability testing tools need to adapt by:

• Regularly updating vulnerability databases: Scanners should incorporate the latest vulnerability information to identify even recently discovered weaknesses.
• Leveraging threat intelligence: Integration with threat intelligence feeds allows vulnerability assessment tools to prioritise vulnerabilities based on exploit likelihood and potential impact.
• Utilising advanced scanning techniques: Techniques like fussing and behavioural analysis can help uncover even zero-day vulnerabilities by probing for unexpected system responses.

Vulnerability Prioritisation: Making Informed Decisions

Not all vulnerabilities are created equal. Effective vulnerability testing tools can prioritise identified weaknesses based on severity, exploitability, and potential impact. This helps security teams focus on patching critical vulnerabilities first, optimising their remediation efforts.

Scanners might employ scoring systems that consider factors like:

• CVSS (Common Vulnerability Scoring System) score: An industry standard rating the severity of a vulnerability.
• Exploit availability: Whether a publicly known exploit exists for the vulnerability.
• Affected systems: The number and criticality of systems impacted by the vulnerability.

You can enrol in a comprehensive cybersecurity course to learn how to effectively use vulnerability scanning tools.

The Top 10 Vulnerability Scanning Tools for Shielding Digital Assets

Choosing the right vulnerability scanner is essential for protecting an organisation’s digital assets effectively. Using the wrong vulnerability scanning tools can lead to failure in stopping a cyber attack. Here is a breakdown of the top 10 vulnerability scanning tools, highlighting their strengths and considerations to help you pick the optimal defender for your digital fortress:

A. Acunetix Vulnerability Scanner

• Features: Web application scanning (DAST), extensive vulnerability coverage, compliance checks.
• Strengths: User-friendly interface, in-depth scans for web applications.
• Considerations: Cost-prohibitive for some, complexity might deter beginners.

B. Nessus Professional by Tenable

• Features: Comprehensive scanning for networks, web applications, and configuration assessments.
• Strengths: Integrates with other security tools, robust feature set.
• Considerations: Free version has limited functionality, paid plans can be expensive.

C. OpenVAS

• Features: Open-source and free, extensive plugin library for various scanning needs.
• Strengths: Large, active community for support, highly customisable.
• Considerations: Steeper learning curve, requires technical expertise to manage effectively.

D. Qualys VMDR

• Features: Cloud-based deployment for easy access, patch management and automated remediation.
• Strengths: User-friendly interface, simplifies vulnerability management.
• Considerations: Subscription-based pricing, might not be ideal for strictly on-premise environments.

E. Rapid7 InsightVM

• Features: Agent-based and agentless scanning options, vulnerability prioritisation with threat intelligence integration.
• Strengths: Scalable for large environments, prioritises critical vulnerabilities for efficient remediation.
• Considerations: Resource-intensive for agent-based scans, complex configuration for extensive deployments.

F. Intruder

• Features: Continuous network vulnerability scanning, vulnerability assessments after infrastructure changes.
• Strengths: Proactive approach, minimises vulnerability windows.
• Considerations: Primarily focused on network security, limited web application scanning capabilities.

G. ManageEngine Vulnerability Manager Plus

• Features: Comprehensive vulnerability management for networks, web applications, and endpoints.
• Strengths: Cost-effective solution for SMBs, user-friendly interface with reporting functionalities.
• Considerations: Feature set might be less extensive compared to high-end enterprise solutions.

H. Aqua Security

• Features: Focuses on cloud-native and container security with vulnerability scanning and posture management.
• Strengths: Deep integration with containerised environments, ideal for DevOps workflows.
• Considerations: Primarily caters to cloud-based deployments, might not be suitable for traditional on-premise environments.

I. Detectify

• Features: Continuous web application security testing (WASM), focuses on identifying business-critical vulnerabilities.
• Strengths: Focus on real-world exploitability, prioritises vulnerabilities based on potential impact.
• Considerations: Primarily targets web application security, limited network or endpoint scanning capabilities.

J. StackHawk

• Features: Developer-friendly vulnerability scanning for web applications, integrates seamlessly with CI/CD pipelines.
• Strengths: Simplifies security integration for developers, automates vulnerability detection in the development process.
• Considerations: Primarily focuses on web application security during development stages, might not be suitable for comprehensive post-deployment vulnerability management.

Choosing the Right Vulnerability Scanning Tools

Forget feature overload. Selecting the ideal vulnerability scanner goes beyond a laundry list of functionalities. Here is a framework to guide your decision based on your specific needs:

Deployment Type

Cloud-based vulnerability scanning tools offer ease of use and scalability, while on-premise options provide greater control. Hybrid environments might require scanners compatible with both deployments.

IT Expertise

User-friendly interfaces and intuitive dashboards are crucial for teams with limited technical knowledge. Conversely, advanced users might prioritise extensive customisation options.

Budget

Open-source and freemium vulnerability scanning tools offer a cost-effective entry point, while paid solutions often provide more comprehensive features and support.

Do not operate in silos. Integrations with security information and event management (SIEM) systems or ticketing platforms can streamline vulnerability management by automating workflows and enriching threat context. You can also consider using VMPs that go beyond basic scanning. These platforms offer comprehensive vulnerability management, integrating scanning with features like patch management, reporting, and threat intelligence for a holistic security posture.

The Future of Vulnerability Scanning Tools

The vulnerability scanning landscape is constantly evolving. Here is a peek into what the future holds for vulnerability scanning tools:

• Cloud-Based Dominance: Cloud-based vulnerability scanning tools are poised for even greater adoption due to their ease of use, scalability, and centralised management capabilities.
• Continuous Scanning for Real-Time Defense: The shift towards continuous vulnerability scanning will become more prominent, enabling near real-time detection of emerging threats and faster response times.
• AI and Machine Learning Take Center Stage: Artificial intelligence (AI) and machine learning (ML) will play a more significant role. Vulnerability scanners will leverage AI and ML for advanced threat detection, vulnerability prioritisation, and even automated remediation strategies.

Wrapping Up

Vulnerability scanning is an essential shield in today’s cyber battlefield. It empowers you to proactively identify weaknesses before attackers exploit them. Remember, the “best” vulnerability scanner isn’t a universal solution. You should carefully consider your specific needs and choose a tool that seamlessly integrates with your environment.

With the power of vulnerability scanning and robust vulnerability management practices, organisations can build a formidable defence and ensure the long-term security of their digital assets. Want to learn how to defend organisations against cyber threats and explore advanced cybersecurity practices? Enrol in the Advanced Certificate in Cybersecurity and Blockchain By E&ICT IIT Guwahati. This holistic cybersecurity course will prepare you for a solid career in cybersecurity.

Frequently Asked Questions

What is the difference between vulnerability scanning and penetration testing?

Vulnerability scanning is an automated process that identifies weaknesses in systems. Penetration testing simulates real-world attacks to exploit those vulnerabilities and assess your overall security posture. Both are crucial for a layered defence.

Are free vulnerability assessment tools any good?

Free vulnerability testing tools can be a great starting point for smaller businesses or personal use. They might have limitations in features or scan depth compared to paid options. Consider your needs and weigh the features against the cost.

How often should I scan for vulnerabilities?

The frequency depends on your industry, risk tolerance, and how often your systems change. Regular scans (weekly or monthly) are ideal, with additional scans after system updates or security incidents.

Are vulnerability assessment tools enough to secure my systems?

Vulnerability scanning is a vital first step, but it is not a silver bullet. You need to implement vulnerability management practices like prioritisation, patching, and retesting to ensure vulnerabilities are addressed and don’t linger.

In today’s hyper-connected world, our reliance on digital technologies has created a vast and complex landscape, one that unfortunately attracts malicious actors. Cybersecurity is the practice of protecting our digital assets, information, and systems from unauthorised access, use, disclosure, disruption, modification, or destruction. It is the digital armour that shields our businesses, personal data, and critical infrastructure from the ever-evolving threats posed by cybercriminals.

The stakes have never been higher. Cybercrime is a booming industry, costing businesses trillions of dollars globally each year. This Is not just a statistic, it translates to real-world consequences. A successful cyberattack can cripple a company’s operations, erode customer trust, and inflict significant financial damage.

In this article, we will learn about what does cybersecurity protect and what kind of threats it protects us from. By understanding the cybersecurity landscape and taking proactive measures, companies and even individuals can significantly reduce the risk of falling victim to cyberattacks. Let us learn more.

Understanding the Cost and Financial Impact of a Cyber Breach

Before we delve into the cybersecurity threats and strategies for mitigation, let us first find out the financial damage caused by cyberattacks (aside from data loss and many other damages). Here are the costs incurred when a cyberattack is successfully carried out:

Malware: $23,856 per incident

This is the average cost per incident businesses incur due to malware infections.

Source: IBM Security: Cost of a Data Breach Report 2023

Phishing Attacks: $3.9 million per incident

This is the staggering average cost businesses face when falling victim to phishing scams.

Source: Verizon 2023 DBIR (Data Breach Investigations Report)

Denial-of-Service (DoS) Attacks: $100,000 per hour) 

This is the immense financial losses businesses experience per hour during such attacks.

Source: Gartner: Cost of DDoS Attacks

So the answer to “what does cybersecurity protect” would be “everything” as these attacks lead to great financial losses, regardless of the asset or data that got compromised.

Common Cybersecurity Threats and Attacks

The digital landscape is teeming with malicious actors wielding a diverse arsenal of cyber threats (threat definition cybersecurity: any attack that can lead to losses or damages). Let us delve into the most common ones and equip you with the strategies for mitigation to combat them:

Malware

Malware are fundamentally any malicious program that is intended to cause harm to target computing systems. Here are some:

• Viruses: These malicious programs self-replicate by attaching themselves to legitimate files. Once a user opens an infected file, the virus can spread throughout the system, corrupting data and disrupting operations.
• Worms: Similar to viruses, worms can self-replicate, but they exploit network vulnerabilities to spread from device to device without requiring user interaction.
• Ransomware: This particularly nasty form of malware encrypts a victim’s data, essentially holding it hostage. Attackers then demand a ransom payment in exchange for the decryption key.

Real-World Example: The 2021 ransomware attack on Colonial Pipeline, a major fuel pipeline operator in the United States, crippled fuel distribution for several days. The attack resulted in millions of dollars in ransom payments and widespread gas shortages.

Phishing

Phishing attacks are a deceptive attempt to trick victims into revealing sensitive information, such as passwords or credit card details. Attackers often use tactics like:

• Spoofed Emails: Emails disguised to appear from legitimate sources (e.g., banks, social media platforms).
• Urgency and Scarcity: Creating a sense of urgency or exploiting fear of missing out (FOMO) to pressure victims into clicking malicious links.
• Suspicious Attachments: Attaching infected files or documents that appear enticing but compromise systems upon opening.

To empower your employees to identify phishing attempts, you can create a “Phishing Email Spotting Checklist.” This checklist would outline key red flags to watch out for, such as:

1. Mismatched Sender Addresses: Does the email address look slightly off compared to the legitimate sender’s address?
2. Generic Greetings: Beware of generic greetings like “Dear Customer” instead of personalisation.
3. Grammatical Errors and Typos: Professional organisations rarely send emails riddled with errors.
4. Suspicious Links and Attachments: Hover over links before clicking to see the actual destination URL. Do not open attachments unless you were expecting them from a trusted source.

Social Engineering

Social engineering exploits human psychology to manipulate victims into divulging confidential information or granting unauthorised access to systems. Attackers employ various tactics, including:

• Pretexting: Creating a fabricated scenario to gain a victim’s trust, such as impersonating IT support and requesting login credentials.
• Quid Pro Quo: Offering something in exchange for sensitive information, like fake technical support promising to fix a non-existent issue.
• Baiting: Luring victims with tempting offers or exploiting curiosity to click on malicious links or download infected files.

Case Study: In 2016, attackers successfully breached the computer network of the Democratic National Committee (DNC) using a combination of spear phishing emails and social engineering techniques. By impersonating legitimate sources, attackers tricked DNC staff into clicking on malicious links and revealing login credentials. This attack highlights the importance of employee awareness and training to identify social engineering tactics.

Denial-of-Service

A Denial-of-Service (DoS) attack aims to overwhelm a website or online service with a flood of traffic, rendering it inaccessible to legitimate users. Imagine a crowd blocking the entrance to a store, that is the basic idea behind a DoS attack. Businesses that rely heavily on online services, like e-commerce platforms or financial institutions, are particularly vulnerable to DoS attacks.

Here are some strategies businesses can adopt to mitigate DoS attacks:

• Implementing DDoS protection services: These services can detect and filter out malicious traffic before it disrupts operations.
• Limiting login attempts: This can help prevent brute-force attacks, a common technique used in DoS attacks.
• Having a backup plan: A disaster recovery plan ensures business continuity even if a DoS attack occurs.

Zero-Day Threats

Zero-day attacks exploit previously unknown vulnerabilities in software or systems. These attacks are particularly dangerous because security patches have not been developed yet. The importance of staying updated with the latest security patches and software updates cannot be overstated in mitigating zero-day attacks.

Insider Threats

Do not underestimate the threat posed by insiders. Disgruntled employees, contractors, or even business partners with authorised access can misuse their privileges to steal data, disrupt operations, or launch cyberattacks.

Here are some strategies for mitigating insider threats:

• Implement strong access controls: Granting access only to the data and systems employees absolutely need for their job functions minimises the potential damage an insider can inflict.
• Regular monitoring and auditing: Monitor user activity and system logs to detect suspicious behaviour that might indicate an insider threat.
• Background checks and security awareness training: Conduct thorough background checks on potential employees and contractors, and provide ongoing security awareness training to educate employees on insider threats and best practices.

Essential Cybersecurity Measures

In today’s digital age, fortifying your defences is paramount. Now that we know what does cybersecurity protect, let us find out about some essential cybersecurity measures. Here is your arsenal to build a robust cybersecurity posture and safeguard your digital assets:

Network Security

Your network is the gateway to your data. Here are crucial tools to secure it:

• Firewalls: These act as digital gatekeepers, filtering incoming and outgoing traffic based on predefined security rules. They block unauthorised access attempts, preventing malicious actors from infiltrating your network.
• Intrusion Detection/Prevention Systems (IDS/IPS): These systems continuously monitor network activity for suspicious behaviour. IDS systems detect potential threats, while IPS systems actively prevent them from causing harm.
• Network Segmentation: Dividing your network into smaller segments can minimise the impact of a security breach. If one segment gets compromised, the damage is contained, preventing attackers from accessing your entire network.

Assessing your current network security posture is crucial. You should follow a solid roadmap to evaluate your defences and identify areas for improvement. This roadmap would cover aspects such as:

• Firewall configuration and rule management
• IDS/IPS deployment and monitoring
• Network segmentation strategies
• Secure remote access protocols

Endpoint Security

Every device connected to your network is a potential entry point for cyberattacks. Endpoint security solutions provide vital protection for these devices:

• Antivirus and Anti-malware Software: These traditional solutions scan devices for known malware threats and prevent them from infecting your systems.
• Endpoint Detection and Response (EDR): EDR solutions go beyond basic antivirus by providing real-time monitoring, threat detection, and response capabilities. They can identify and neutralise even sophisticated zero-day attacks.

Choosing the right endpoint security solution depends on your specific needs and budget. Here is a comparison chart to help you navigate the options:

Feature	Vendor A	Vendor B	Vendor C
Antivirus Protection	Yes	Yes	Yes
Anti-malware Protection	Yes	Yes	Yes
EDR Capabilities	Yes	Yes (Limited)	Yes (Advanced)
Mobile Device Security	Yes	Yes	Yes
Centralised Management	Yes	Yes	Yes

Data Security

Data is the lifeblood of any organisation. Here is how to ensure its confidentiality and integrity:

• Data Encryption: Encryption scrambles data using a secret key, rendering it unreadable to unauthorised users. This protects sensitive information even if it is intercepted during a cyberattack.
• Access Controls: Implementing access controls ensures that only authorised users can access specific data based on their job roles. This principle of “least privilege” minimises the potential damage if access credentials are compromised.

A well-defined data security policy outlines your organisation’s approach to protecting sensitive information. You should follow a recognised data security framework for crafting your own policy, covering aspects such as:

• Data classification guidelines
• Access control procedures
• Data encryption standards
• Data breach reporting protocols

Strong Passwords & Multi-Factor Authentication (MFA)

Passwords are the first line of defence for user accounts. Here is how to fortify them:

• Strong Passwords: Encourage the use of complex passwords with a combination of uppercase and lowercase letters, numbers, and symbols. Avoid using easily guessable words or personal information.
• Multi-Factor Authentication (MFA): MFA adds an extra layer of security by requiring a secondary verification factor beyond just a password, such as a code from an authentication app or fingerprint verification. This significantly reduces the risk of unauthorised access even if attackers steal a password.

Equipping your employees with the knowledge to create and manage strong passwords is vital. We should always promote generating secure and memorable passwords for personal and business accounts.

Employee Training & Awareness

Employees are often the first line of defence against cyberattacks. Investing in cybersecurity awareness training empowers them to identify threats and make informed decisions online:

• Security Awareness Training: Regular training sessions educate employees on various cyber threats, social engineering tactics, and best practices for secure online behaviour.
• Phishing Simulations: Simulating phishing attacks allows employees to test their skills in identifying suspicious emails and helps them learn from their mistakes in a controlled environment.

We understand that developing training materials can be time-consuming but it is extremely important for streamlining cybersecurity processes. Companies should offer downloadable cybersecurity awareness training materials to their employees, including:

• Presentations on common cyber threats
• Interactive quizzes and exercises
• Short explainer videos on key security concepts

Regular Backups & Disaster Recovery

Even with the most robust defences, cyberattacks can happen. Here is how to ensure business continuity:

• Regular Backups: Regularly backing up your data to a secure offsite location allows you to recover critical information in the event of a cyberattack, hardware failure, or natural disaster.
• Disaster Recovery Plan: A well-defined disaster recovery plan outlines the steps your organisation will take to resume operations after a disruptive event. It should include procedures for data recovery, system restoration, and communication with stakeholders.

Creating a comprehensive disaster recovery plan can seem daunting but it is necessary. It should have a structured approach that covers aspects like:

• Identifying critical business functions
• Risk assessment and mitigation strategies
• Data backup and recovery procedures
• Business continuity communication plan

By implementing these essential cybersecurity measures and empowering your employees, you can build a strong digital fortress and significantly reduce the risk of falling victim to cyberattacks. We should always remember that cybersecurity is an ongoing process, stay vigilant and adapt your defences as new threats emerge.

If you wish to become a cybersecurity expert, you can enrol in the Advanced Certificate in

Cybersecurity and Blockchain by E&ICT IIT Guwahati. This cybersecurity course will help you become an effective cybersecurity professional capable of protecting an organisation’s data and assets.

Advanced Cybersecurity Safeguards

While the essential measures outlined previously form a solid foundation, cybersecurity is an ever-evolving battlefield. In this kind of modern warfare where threats are always evolving and getting more effective, advanced strategies for mitigation are needed. These advanced safeguards, implemented alongside the essential measures outlined earlier, provide a comprehensive approach to cybersecurity.

Here, we delve into advanced strategies for mitigation to further fortify your digital defences:

Vulnerability Management

Vulnerability management is the systematic process of identifying, prioritising, and patching vulnerabilities in your software and systems. Here is why it is crucial:

• Exploited vulnerabilities are the entry points for many cyberattacks. Regular vulnerability assessments help identify these weaknesses before attackers do.
• Patching vulnerabilities is like repairing those loopholes or weaknesses in your defences, closing the gaps that attackers could exploit.

Security Information and Event Management (SIEM)

Security threats come from various sources such as suspicious login attempts, malware infections or network traffic anomalies. SIEM solutions act as your central nervous system for security, offering:

• Real-time monitoring and analysis of security events from various devices and applications across your network.
• Log aggregation and correlation. SIEM gathers data from diverse sources, consolidates it into a single platform, and identifies patterns that might indicate a potential security breach.
• Incident alerting and investigation. SIEM can automatically trigger alerts when suspicious activity is detected, allowing you to investigate and respond to potential threats promptly.

Penetration Testing

Think of penetration testing as a controlled ethical hacking exercise. Security professionals simulate real-world cyberattacks to identify vulnerabilities in your systems and network defences. Here is how it benefits you:

• Proactive identification of weaknesses: Penetration testing helps uncover security gaps that attackers might exploit before they launch a real attack.
• Improved defence strategies: By understanding how attackers might infiltrate your systems, you can prioritise patching vulnerabilities and strengthen your defences accordingly.
• Enhanced security posture: Regular penetration testing helps ensure your organisation stays ahead of the curve and maintains a robust security posture.

The Evolving Threat Landscape

The cybersecurity landscape is akin to a chameleon, constantly changing colors and adapting tactics. Here is why staying informed is paramount:

• New threats emerge all the time. Cybercriminals are constantly devising new techniques to exploit vulnerabilities. Being aware of the latest threats allows you to proactively take steps to mitigate them.
• Security best practices evolve. As threats change, so do the best practices for defending against them. Staying updated ensures your cybersecurity strategies remain effective.

Staying Informed

Equipping yourself with knowledge is your greatest defence. Here are some reputable resources to keep you informed about emerging cybersecurity threats and trends:

Websites:

• The National Institute of Standards and Technology (NIST) Cybersecurity Framework (https://www.nist.gov/cyberframework) provides a comprehensive framework for managing cybersecurity risk.
• The Cybersecurity & Infrastructure Security Agency (CISA) (https://www.cisa.gov/) offers valuable resources on various cyber threats and best practices for mitigation.

Publications:

• SecurityWeek (https://www.securityweek.com/) offers a wealth of news and analysis on cybersecurity threats, vulnerabilities, and security solutions.
• SC Magazine (https://www.scmagazine.com/) is another industry publication providing in-depth coverage of cybersecurity news, trends, and best practices.

The Key to Success

Now that you know the answer to “What does cybersecurity protect?”, it is important to understand that cybersecurity is not a one-time fix, it is an ongoing process. Here is how to ensure your defences stay strong:

• Regularly review and update your cybersecurity policies and procedures. As threats evolve, so should your defences.
• Conduct periodic security assessments and penetration testing. Identify and address emerging vulnerabilities before they become critical issues.
• Foster a culture of security awareness within your organisation. Educate your employees on cybersecurity best practices and encourage them to report suspicious activity.

Building a Culture of Cybersecurity

In today’s digital age, cybersecurity is no longer optional, it is a strategic imperative. By adopting a proactive approach and fostering a culture of security awareness within your organisation, you can significantly reduce your cyber risk and safeguard your valuable assets.

Shifting from Reactive to Proactive

Reactive cybersecurity is akin to closing the barn door after the horses have bolted. A proactive approach emphasises prevention and preparedness. By implementing the essential and advanced safeguards outlined in this guide, you can anticipate threats and build robust defences before attackers strike.

Fostering a Culture of Security Awareness

Your employees are your first line of defence. By fostering a culture of security awareness, you empower them to identify threats, make informed decisions online, and report suspicious activity.

Here are some key strategies to cultivate this culture:

• Regular Security Awareness Training: Invest in ongoing training programs to educate employees on cybersecurity best practices, common threats, and social engineering tactics.
• Phishing Simulations: Simulate phishing attacks to test employees’ ability to identify suspicious emails and provide real-world learning experiences.
• Open Communication: Encourage employees to report suspicious activity or concerns without fear of reprisal. Foster a culture of open communication where security is everyone’s responsibility.

Wrapping Up

By prioritising cybersecurity, building strong defences, and empowering your employees, you can navigate the ever-evolving threat landscape with confidence. Remember, cybersecurity is a journey, not a destination. Embrace continuous improvement, stay informed, and adapt your strategies to stay ahead of the curve. Together, we can create a more secure digital future for everyone.

Finally, by staying informed, continuously adapting your strategies, and fostering a culture of security awareness, you can build a resilient digital posture that can withstand even the most sophisticated cyberattacks. So, what does cybersecurity protect? All of us. Me, you and everybody else. Remember, cybersecurity is a shared responsibility, let us work together to create a safer digital world. 

Wish to become a cybersecurity expert? You can enrol in Imarticus Learning and IIT Guwahati’s Advanced Certificate in Cybersecurity and Blockchain to become a cybersecurity professional. This cybersecurity course will open up new doors for you in the domain of cybersecurity.

Frequently Asked Questions

1. I keep hearing about phishing attacks, what are they and how can I avoid them?

Phishing emails (or messages) try to trick you into clicking malicious links or downloading infected attachments. They often appear to be from legitimate sources like your bank or employer. Be cautious of suspicious emails, don’t click on unknown links, and verify sender legitimacy before opening attachments.

• What are some common cybersecurity threats for businesses?

Businesses face various threats, including malware attacks (viruses, ransomware), data breaches, and unauthorised access attempts. These can disrupt operations, damage reputations, and result in financial losses.

• What’s the best way to protect my business from cyberattacks?

There is no single solution, but a layered approach is key. Implement strong passwords, install security software, educate employees on cybersecurity best practices, and regularly back up your data. Consider security audits to identify vulnerabilities in your systems.

• What should I do if I suspect a cyberattack on my business?

Act swiftly. Isolate affected devices, disconnect from networks, and report the incident to the relevant authorities. If ransomware is involved, don’t pay the ransom – seek professional help for data recovery.

As generative AI takes over, a tidal wave of innovation is set to hit all sectors. It will help create ground-breaking marketing campaigns, design new products, and develop code ideas—all in one go! That is the power that generative AI applications put in your hands. 

This blog explores the numerous ways generative AI is being used in the real world. We explore areas of marketing, design, science, and manufacturing. 

Definition of Generative AI

Generative AI, short for generative artificial intelligence, is a type of AI that can create new data —text, images, music, or code. It works by learning the patterns and relationships within a massive dataset of existing content. 

It is similar to having a giant library with books on every topic. Generative AI applications read all these, learn the rules of grammar, sentence structure, and storytelling, and then use that knowledge to write their own stories.

Here’s how it works:

• Training: Generative AI models are trained on massive datasets. This could be millions of images, lines of code, or pieces of music.
• Pattern recognition: As the model is trained, it recognises patterns and relationships within the data. It learns to recognise the elements that make up a cat picture, a pop song, or a computer program.
• Content creation: Once trained, the model can use that knowledge to generate new content. It can create realistic images of cats that have never existed, compose music in a specific genre, or write code for a new software program.

After all, what is generative AI if it isn’t about diversification?

Examples of Generative AI

Generative AI is an emerging field with many applications. We’re already seeing it used in:

• Marketing: New ad copy, product descriptions, and social media content.
• Art and design: New design ideas, unique visual content, and music.
• Science and engineering: Drug discovery, materials science, and new product development.

Here are some examples of generative AI applications by area of expertise:

1. Text Generation

• Jasper: Marketing copy, blog posts, website content, and scripts.
• Writesonic: Product descriptions, social media posts, and email marketing campaigns.
• Scribe: Academic and professional writing, research, summarising articles and reports.

Image Generation

• DALL-E 2: OpenAI’s tool that turns text descriptions into photorealistic images.
• Midjourney: Image generation platform for creative and artistic outputs.
• NightCafe Creator: Digital artwork based on user prompts and artistic styles.

Code Generation

• Github Copilot: AI assistant for programmers that suggests code completions and functions based on context.
• Tabnine: Code completion tool that learns from your coding style.
• DeepCode: Code quality improvement.

In terms of miscellaneous activities, here’s more of what generative AI applications can perform:

• Murf.ai: Voiceovers in many styles and languages.
• Amper Music: Music to your preferences and mood.
• Synthesia: Videos from text inputs. AI presenters.

Generative AI Applications

Generative AI deals with multitudes of industries. Its applications are known to have worked within these industries successfully:

Marketing and Advertising

Marketing has gotten even more creative with generative AI applications. Here’s how generative AI is making marketing effective:

• Personalised messages for everyone: What is generative AI but a haven for human interaction? No more one-size-fits-all marketing! Generative AI can create content, like ad copy and social media posts, that talks directly to each person’s interests. Not just that, a recent report even showed how over 44% of marketers use GenAI solely for email copy while others depend on it for social media copies.
• Visuals in a flash: Creating great images and videos is a pain. Generative AI can create unique visuals for your brand and campaign in seconds, saving you time and money. Access fresh content, constantly, without the hassle.
• Testing made easy: Finding the perfect marketing message is similar to finding a needle in a haystack. Generative AI can create multiple versions of ads and headlines, and you can test them all quickly to see what works best. It’s like having a million test audiences at your fingertips!
• Targeting like a professional: The definition of Generative AI extends to analysing tons of data to know what people want. You can precisely target your ads, making them reach the right people with the right message at the right time. To learn more, opt for generative AI courses like the Advanced Certificate Programme in Generative AI by Imarticus.

Here are a few popular examples of where we can experience Gen AI:

• Netflix: A movie trailer made just for you, highlighting the bits you’ll love most. That’s what Netflix does with generative AI, and it keeps people hooked.
• Uber: Ever get an Uber email with a special offer just for you? Generative AI applications like this use your past rides to suggest deals that make sense and keep you seeking more.
• BBC: The BBC uses generative AI applications to create personalised social media posts based on your viewing habits so you discover various content.

Software Development

The definition of Generative AI is incomplete without the mention of software development. This technology allows you to write repetitive code snippets. 

Moreover, you can use it for suggestions to solve problems and even instruct it to catch bugs before they sabotage your code. Moreover, 91% of Deloitte professionals believe in the power of Generative AI applications to improve organisational productivity.

Let’s look at some examples:

• Github Copilot: This popular tool is like an AI assistant regarding generative AI applications. It suggests code completions and functions as you type.
• Tabnine: Another code completion tool, Tabnine learns your coding style and preferences over time and gives you suggestions based on how you work. 
• DeepCode: This AI tool goes beyond just writing code. It analyses your codebase to find potential bugs and security vulnerabilities so you can write cleaner and more secure software.

Financial services

Generative AI applications create entirely new data and are moving quickly across industries. Below are a few ways generative AI is disrupting industries:

• JPMorgan Chase: Experiment with generative AI to analyse data and find trading opportunities.
• HSBC: Use generative AI to create synthetic data for fraud detection models.
• BlackRock: Explore generative AI for portfolio optimisation, building more diverse investment strategies.

Enterprises

Generative AI can automate the mundane —data entry, report generation, and even basic coding. It frees employees to do what they do best: innovate, strategise, and crush those quarterly targets.

Here’s how generative AI applications aid enterprises:

• Personalised customer interaction: Create unique content, targeted marketing materials, and chatbots that truly connect with customers.
• Work smarter: Brainstorm new product ideas, generate design variations, and write basic code for prototypes —all with AI as your partner.
• Data-driven decisions: Analyse massive datasets and find hidden insights to make better business decisions.
• Streamline operations: Less time on admin tasks means more money saved.
• Alleviate marketing and sales: Personalised content creation means higher conversion rates and a stronger brand.
• R&D to the rescue: Bring innovative ideas to market faster.
• Become a risk management expert: Identify and mitigate financial risks before they strike.

Generative Adversarial Networks (GANs) 

Two AI systems are in an artistic battle. One is the generator, trying to create more realistic paintings, and the other is the discriminator, trying to separate the real from the fake. This is the basic idea of Generative Adversarial Networks (GANs), a deep learning technique that explores the limits of artificial creativity. This is where generative AI applications find their extension.

How GANs Work

Here’s an example to get you started: A forger is creating very convincing counterfeits while a detective is trying to catch the forgeries. The forger improves their technique based on the detective’s feedback, and the loop continues. 

In a GAN:

• The generator: Creates new data, like images, text, or music, from random noise.
• The discriminator: Analyses the generated data and tries to determine if it’s real or fake based on its training on real data.

Through this ongoing competition, the generator learns to create increasingly realistic outputs, while the discriminator becomes a sharper critic.

Generative AI Applications Using GANs

Generative AI courses often cover GANs, an integral part of GenAI. GANs are no longer confined to research labs. Instead, you can find them in these areas:

• Art and Design

GANs can create incredibly realistic images in any style. With Generative AI applications, you can generate new fashion designs that capture the essence of a particular era or designer or compose music that seamlessly blends different genres. GANs can even create photorealistic portraits from text descriptions, opening up new possibilities for personalised art.

• Marketing and Advertising

Personalise marketing campaigns by generating targeted visuals or crafting product descriptions for specific demographics. For instance, generative AI applications let GANs create custom social media posts for a user’s interests or generate product mockups. GANs can also generate different ad variations for A/B testing so marketers can optimise their campaigns for maximum impact.

• Drug Discovery and Materials Science

Simulate complex molecules or materials to speed up research and development. GANs can analyse huge datasets of existing molecules and materials and then use that knowledge to generate entirely new ones with specific properties. 

This can lead to breakthroughs in areas like medicine, where GANs can design new drugs with fewer side effects, or in materials science, where GANs can create new materials with better strength, conductivity, or other desirable properties.

• Fashion and E-commerce

Create personalised clothing recommendations based on a user’s style or browsing history. Imagine a virtual stylist powered by GANs who can suggest new outfits that match your current wardrobe or create a look for a special occasion. 

GANs can also create product images for online stores, eliminating the need for expensive photo shoots and allowing for more product views to be shown. 

Summary

Generative AI applications are modifying industries, from automating tasks in companies to creating new art forms with GANs. As this tech matures, the demand for skilled people will skyrocket. 

This is the right time to register for generative AI courses. An Advanced Certificate Programme in Generative AI will give you the knowledge and skills to lead in this space, learn from industry experts, develop practical skills, and move your career forward. 

Don’t miss out –  sign up now and command generative AI!

FAQs

• What is generative AI?

The definition of Generative AI extends to a type of AI that can create entirely new data, such as text, images, music, or even code from inputs in the same format. All you have to do is give it instructions according to the modality of the system. 

• What is the difference between AI and generative AI?

AI is great at data analysis, the foundation for tasks like recommendation systems or fraud detection. Generative AI applications let a specialised type of AI go a step further. It can analyse data and use that knowledge to create new content, like realistic images or new product designs.

• How to use GenAI?

Using GenAI is as simple as it gets. Describe what you want (text, image, code), and feed it data. You will have your AI output in no time.

• What are GenAI examples?

Generative AI applications are widespread in terms of text generation (like AI-written articles), image synthesis (creating images from descriptions), and music composition (generating songs on varied styles).

Artificial intelligence encompasses tasks related to replicating human brain activities such as learning, reasoning, language comprehension, problem-solving abilities, etc., by computers or software-driven robots. Thus, AI is a modern-day technology experiencing speedy evolution with each passing day to match and surpass human intelligence. Machine learning, deep learning, etc., are different specialised verticals of AI. 

In this article, we shall explore in detail the answer to ‘what is generative AI’. We shall also learn about generative AI tools, skills in generative AI and generative AI courses.     

What is Generative AI?

There are several types of artificial intelligence. Some are purely reactive with expertise in only one field, while some respond with limited memory. Robots with “theory of mind” and “self-awareness” are being researched and shall be the future of AI.

However, another type of AI has gained tremendous momentum in recent years—generative AI. Generative AI is a vertical of artificial intelligence tasked with developing new, imaginative, or futuristic content in the form of images, video, written content, etc., from available data. Applications of generative AI are plentiful, including police departments, healthcare, marketing, security, etc.    

In the modern digital economy, generative AI plays a major role, and hence, learning skills in generative AI and expertise in handling generative AI tools can give aspirants a significant edge in the job market. 

What is Generative AI and its benefits? 

Generative AI leverages its huge data bank and realises human inputs to produce desired results. The advantages of generative AI abilities are multi-fold, and benefits can be obtained across many sectors. Some of the benefits of generative AI are as follows –

• Automation 

In digital marketing, even small business houses look forward to automation in some of their basic or routine functions. The main purpose is to deploy fewer human resources and achieve speedier execution. 

• Customisation 

With the help of generative AI, business houses can offer extremely tailor-made services. Based on user inputs and preferences, generative AI activates its recommendation engine to suggest user similar products, services, visuals, articles, etc. 

• Optimisation 

Client behavioural patterns and preferences both change drastically over time. However, organisations must withstand challenges and still be competitive. Generative AI can boost creativity and product design optimisation.

• Enhanced service experience 

Generative AI enhances customer service experience to the next level. Customers may clarify most of their queries with the chatbot services around the clock. Thus, clients get better services, and organisations reduce the cost of excess manpower.

• Reduction in cost and time 

The creativity of generative AI in automation reduces production processes, thus saving both cost and time. Generative AI also analyses client reviews and helps create acceptable, cost-effective, futuristic product designs. 

• Enhanced revenue and profit 

When better customer service is realised, revenue increases. When cost production time is reduced, profit is enhanced.  

Skills in Generative AI

To get a fair idea of ‘what is generative AI’, we need to understand the important skills in generative AI. There are a good number of institutions offering generative AI courses, which can transform the career path of any prospective candidate. Some of the most sought-after skills in generative AI are as follows –

• Natural language processing (NLP) 

Understanding natural human languages is important for replicating human intelligence. Thus, a vast amount of data is collected through different communication channels, such as emails, chats, texts, videos, etc. 

• Deep learning

This specialised type of machine learning is meant for critical (but human-like) decisions through robots. Designed after the neurons of the human brain, the DL method uses several layers of artificial neural networks to achieve its objectives. DL is utilised in industrial manufacturing, self-driven cars and for cancer cell detection.   

• AI Chatbot 

This robotic agent is mainly used to respond to client queries as a customer support function. E-commerce, retail, banking, and insurance sectors use this extensively. However, these services are not completely independent and require human intervention for maintenance and even responding to critical or unique queries.  

• PyTorch 

It is a framework based on the open-source ML library from Facebook. It helps create and train deep learning models and neural networks used in NLP and related software. PyTorch is developed using Python and is extremely popular among Python developers.   

Read more about the reasons behind Python’s popularity in the technology industry.

• Prompt engineering 

This is a skill that creates ideal inputs so that the results produced by generative AI models are useful for their intended purpose. A prompt engineer handholds the entire process of a generative AI model until it reaches its ideal evolution.

• Computational biology 

This skill utilises big data from the biological science field and, with the help of generative AI, understands biological systems, relationships, genetic research and medicine development for new diseases.  

• TensorFlow 

It is a Google-coded open-source ML framework used to create and train neural networks. Because of its creative elements and real-world applications, it is equally appreciated in the AI research and developer communities. 

• AI image generation 

Many generative AI services are available that can create desired images from natural language inputs. This skill is widely used in police services to generate images of alleged criminals.

We can understand what is generative AI by reviewing these top on-demand skill sets. These different skills in generative AI help an aspiring candidate to understand and choose the right skill set as per his or her abilities and likings. It is required to understand that artificial intelligence will require special professionals with desired skill sets. Thus, upskilling is the best mantra to sustain and survive.     

Generative AI Tools

To successfully reflect upon ‘what is generative AI’, we must understand the different generative AI tools and languages that pave the way for a futuristic world of artificial intelligence.

The different generative AI tools or programming tools and software development tools are as follows – 

• Atom 

It is a free, open-source desktop and code editor that works on Windows, Linux and OS X. It performs cross-function editing and is capable of smart auto-completion.

• NetBeans 

It is a Java-based open-source tool capable of quickly developing mobile and desktop apps. It performs static analysis and visual debugger functions.

• CodeCharge Studio 

It is a pre-built rapid application development (RAD) tool meant for data-driven web functions using the internet or intranet with limited coding. It has the feature of a visual integrated development environment (IDE) and code generation.

• Azure 

Azure is a cloud-based MS tool that can deploy AI models as APIs. It performs several important desktop functions, such as storage services, data management, virtual networking, caching, etc.

• Linx 

It is a low-code tool for data centre backend automation. This tool makes web services easier to design and develop.

• Dreamweaver 

It is an Adobe-owned software programming editor tool for developing complex and responsive websites. It supports fast and flexible coding with multi-monitor support.      

• CloudForge 

It is a SaaS platform for cloud-based collaborative application development. It can manage and integrate different development tools and support file sharing and document management. Its visibility and reporting functions are worth mentioning.

• Embold 

It helps to locate the bugs that disturb software’s robustness and maintainability. It generates code problems and security flaws. It is often used in mobile development.

• GeneXus

It is a customer-based platform with digital analytics that creates, automates, and maintains databases and applications in various languages.

• Bitbucket 

It is a browser revision control tool for the software development team to create and review codes. It is also capable of storing large files in Git. 

• Zend Studio 

It is a cloud-based IDE tool for creating, debugging, prototyping and testing mobile and web applications.  

• Crimson Editor   

It is a free MS compact HTML text and code editing tool with syntax highlighting and auto-indentation properties.

All the above-mentioned tools will help the prospective candidate to get an idea about what is generative AI. 

Conclusion

To be a master of generative AI tools, one needs to be a master of programming languages. Some of the top software languages for AI are Python, Java, SQL, C#, C or C++, and R. For a beginner to get a guideline regarding what is generative AI and which language to start with, they need to enrol in good generative AI courses with reputed institutions. 

The Advanced Certificate Programme in Generative AI in Association with E&ICT Academy, IIT Guwahati by Imarticus, will give prospective candidates a massive head start in their careers. The course is 6 months long and includes 140 extra hours. 

Visit the official website of Imarticus for more details. 

FAQs

• How are generative AI tools applied in daily life? 

Productivity and information availability become faster and hassle-free when generative AI is used.

• What is Azure?

Azure is a cloud-based MS tool with the capability of deployment of AI models as APIs.

• What is PyTorch?

It is a framework from an open source ML library on Facebook. 

• What is the full form of  NLP?

NLP stands for Natural Language Processing.

In the vast world of cybersecurity threats, Trojan Horse malware stands out as one of the most insidious. Named after the Greek strategy used during the Trojan War, these malicious programs sneak into your system disguised as legitimate software, only to wreak havoc once inside. 

A Trojan horse (or just Trojan) is a type of malicious software that trick clients into thinking it’s a harmless program. It gets its name from the ancient Greek tale of the Trojan Horse that led to the downfall of Troy.

Trojans usually spread through tricks called social engineering. Understanding what is Trojan Horse and learning how to protect yourself from Trojan viruses are crucial steps in safeguarding your digital life.

What is Trojan Horse?

A Trojan Horse is a type of malware that deceives users by masquerading as benign or useful software. Unlike viruses and worms, which replicate and spread autonomously, Trojans rely on social engineering tactics to trick users into executing them.

The term “Trojan Horse” derives from the ancient Greek tale where Greek soldiers hid inside a giant wooden horse presented as a gift to the city of Troy. Similarly, Trojan malware hides its malicious intent under the guise of a seemingly harmless program or file.

This story gives its name to modern “Trojan horse” cyber attacks for a few reasons:

• The Trojan horse was a clever way to bypass Troy’s defenses after years of trying unsuccessfully to breach them. Similarly, a Trojan virus can bypass strong cybersecurity measures.
• The Trojan horse looked like a harmless gift, just as a Trojan virus disguises itself as legitimate software.
• Once inside, the Greek soldiers controlled Troy’s defenses. Similarly, a Trojan virus can take over your computer, making it vulnerable to other malicious attacks.

In simple terms, just as the Trojan horse was a sneaky way to conquer Troy, a Trojan virus is a sneaky way for cyber attackers to take control of your computer.

How Trojans Work?

Understanding how Trojans work is essential for recognizing and defending against them. Trojans typically infect systems through:

• Phishing emails: Disguised as legitimate messages, these emails contain malicious attachments or links.
• Software downloads: Trojans are often bundled with free software downloads from untrusted sources.
• Exploiting vulnerabilities: Some Trojans take advantage of security flaws in software or operating systems.

Types of Trojan Malware

Trojans come in various forms, each with specific targets and methods. Here are some of the most common types of Trojan Malware:

Backdoor Trojans

Backdoor Trojans create unauthorized access points on infected systems, allowing attackers to control the device remotely. This type of Trojan is particularly dangerous as it can facilitate further attacks and espionage.

Banking Trojans

Banking Trojans specifically target financial information. They often intercept online banking transactions, capturing login credentials and other sensitive data.

Remote Access Trojans (RATs)

Remote Access Trojans (RATs) grant attackers complete control over the infected system. This access can be used for surveillance, data theft, or launching additional attacks.

Rootkit Trojans

Rootkit Trojans are designed to hide their presence and the presence of other malicious software on the system. They modify system settings and processes to evade detection by antivirus programs.

Other Notable Types

Other types of Trojans include DDoS Trojans, which facilitate distributed denial-of-service attacks, and Ransomware Trojans, which encrypt files & demand ransom payments for decryption.

How to Recognize a Trojan Virus?

Spotting a Trojan infection early can mitigate damage. Here are some common signs to watch for:

• System slowdowns: Unexplained sluggishness can indicate the presence of a Trojan consuming resources.
• Unexpected pop-ups: Frequent, unsolicited pop-ups are a red flag.
• Unfamiliar programs: Unknown software appearing on your system is a cause for concern.
• Unusual network activity: High levels of network traffic or unexpected data transfers can signal a Trojan.
• Changes in system settings: Unauthorized modifications to settings or security configurations can also be indicative of an infection.

How to Protect Yourself from Trojan Viruses?

Prevention is always better than cure. Here are some effective strategies to protect against Trojan infections:

Protecting yourself from Trojan viruses is essential to keep your computer and personal information safe. Here are some easy steps you can take:

1. Be cautious with emails and links: Avoid email opening from unknown or suspicious sources. Sometimes, Trojans come disguised as emails from friends or legitimate businesses.
2. Download from trusted sources: Only download software and apps from well-known and reputable websites. Avoid downloading from pop-up ads or unfamiliar sites, as they may contain Trojans.
3. Keep your software updated: Regularly update your operating system, antivirus software, and all programs on your computer. 
4. Use strong passwords: Create strong passwords for your accounts. Avoid using easily guessable passwords like “123456” or “password.”
5. Be careful with removable devices: Scan USB drives, external hard drives, and other removable devices for viruses before opening any files or transferring data.
6. Use a reliable antivirus program: Install updated antivirus software. It can detect and remove Trojans before they cause harm to your computer.

Importance of Antivirus Software

Using reputable antivirus software is crucial. These programs can detect and remove Trojans before they cause significant harm. Make sure that your antivirus software is always up to date to combat the latest threats.

Regular System Updates

Keeping your operating system & all software up to date is another important defense strategy. Software updates frequently include fixes for security flaws that Trojans exploit. 

Conclusion

In the digital age, the threat of Trojan Horse malware is ever-present. By understanding what is Trojan horse, recognizing the signs of an infection, & taking proactive steps to protect yourself, you can easily reduce the risk of falling victim to these malicious programs. Additionally, investing in cyber security courses online can further arm you with the knowledge needed to safeguard your digital assets.

Master Cybersecurity, Cryptography, and Blockchain with Imarticus Learning

Explore the dynamic domains of cybersecurity, cryptography, and blockchain through Imarticus Learning, where cyber security courses online mirror real-world industry practices. Our curriculum and teaching approach serve as your guide to mastering essential skills, preparing you for a secure and innovative future. You’ll learn to defend against cyber threats, implement encryption for data security, and understand blockchain’s transformative impact across industries. Additionally, students benefit from EC-Council-aligned content, hands-on experience on EC-Council iLabs, and an exam voucher for the EC-Council CEH certification.

Designed in collaboration with IIT Guwahati and industry experts, our curriculum emphasizes networking fundamentals, ethical hacking, vulnerability analysis, and blockchain technology. Engage in immersive lab sessions where you’ll work with industry-standard tools like VMware, Kali Linux, Wireshark, Nessus, and Nmap, demonstrating practical proficiency in cybersecurity techniques.

Interact live with cybersecurity experts from IIT Guwahati and industry leaders in interactive sessions covering networking, ethical hacking principles, vulnerability assessment, and blockchain concepts. Prepare yourself for a rewarding career in cybersecurity with Imarticus Learning.

Join us to fortify your skills and prepare for the future of cybersecurity with Imarticus Learning.

In recent years, blockchain technology has emerged as one of the most transformative innovations across various industries, transcending its origins in cryptocurrency. From finance to healthcare, supply chain management (SCM) to voting systems, blockchain’s decentralized and secure nature has sparked interest in a career in blockchain worldwide. 

As this technology continues to evolve, professionals across diverse sectors are recognizing the need to equip themselves with blockchain expertise for a successful career in blockchain.

Enter blockchain technology, the ingenious system powering these digital currencies. But guess what? Blockchain’s applications extend far beyond crypto, and it’s rapidly transforming how businesses operate across industries.

Here’s why a blockchain certification course could be the key to unlocking a future-proof career in blockchain.

Exploring Blockchain Education: Bridging the Gap Between Cryptocurrency and Enterprise Opportunities

A blockchain is like a digital ledger that specially keeps track of information. It stores records, called blocks, which are securely connected using special codes. Each block contains information about the one before it, along with details like when the information was added and what transactions were made.

Think of it like a chain of blocks where each new block is linked to the previous one. Once information is added to a block, it can’t be changed without changing all the blocks that come after it. This makes blockchain transactions very secure because it’s extremely difficult to alter them without everyone noticing.

Blockchains are usually managed by a network of computers that work together to add and check new blocks of information. This network follows specific rules to make sure everything is accurate and secure. While blockchains aren’t completely immune to changes, they’re designed to be very reliable and resistant to problems.  

Imagine a giant, shared record book – that’s essentially what a blockchain is. Transactions (cryptocurrency exchanges, data transfers, etc.) are recorded in chronological blocks, cryptographically linked together. This creates an immutable ledger, meaning information can’t be tampered with.

How can blockchain training improve the prospects of building a blockchain developer career?

So, why is this tech getting all the buzz in the enterprise world? 

Here are some key benefits that are making businesses drool:

• Enhanced Security: Forget about data breaches! Blockchain’s decentralized nature makes it incredibly secure. Every member of the network has a copy of the ledger, so hacking becomes a near-impossible feat.
• Streamlined Processes: Say goodbye to clunky, paper-based systems. Blockchain automates workflows and simplifies complex processes, saving businesses time and money.
• Improved Transparency: Transactions are transparent and verifiable on the blockchain, fostering trust and accountability between parties.
• Traceability and Provenance: Need to track the origin of a product? Blockchain shines! It allows companies to track goods throughout the supply chain, ensuring authenticity and quality control.

Why is understanding blockchain fundamentals crucial for professionals in diverse industries

Now that you understand the power of blockchain, let’s explore how distributed ledger technology courses can equip you with the knowledge and skills to thrive in a career in blockchain.

How to Start Career in Blockchain: Building a Strong Foundation

A good blockchain technology course online will start with the fundamentals. You’ll learn about:

• The core concepts of blockchain technology: You’ll delve into the intricacies of distributed ledger technology, consensus mechanisms, and cryptography.
• Different types of blockchains: There’s not a one-size-fits-all solution! You’ll explore public, private, and permissioned blockchains, understanding their unique functionalities.
• The evolving landscape of blockchain applications: From supply chain management to healthcare, you’ll discover the diverse ways blockchain is transforming industries.

Beyond the Basics: Developing In-Demand Skills For A Career in Blockchain

Here are some areas you might explore:

• Smart Contract Programming: These self-executing contracts automate agreements on the blockchain, and learning to build them is a valuable asset.
• Blockchain Security: Understanding potential vulnerabilities and how to mitigate them is crucial for businesses implementing blockchain solutions.
• Business Applications of Blockchain: Dive deep into specific use cases relevant to your desired career path. This could be anything from trade finance to intellectual property management.

The Benefits of Structured Learning

While there’s a wealth of free information online, a structured blockchain course can help understand how to start career in blockchain:

• Comprehensive Curriculum: A well-designed course ensures you learn everything you need to know, presented logically and progressively.
• Expert Guidance: Instructors with real-world experience can answer your questions, clarify complex concepts, and provide valuable insights.
• Networking Opportunities: Courses often create a platform to connect with fellow learners and potential employers for a promising career in blockchain.

The Final Words

Diving into a blockchain certification can truly supercharge your career trajectory. Whether you are a professional or just starting, the skills and knowledge gained from such a course can open doors to a plethora of opportunities for a career in blockchain across various industries. From understanding the intricacies of cryptocurrency to implementing blockchain solutions in enterprise settings, the possibilities are endless.

By staying ahead of the curve & mastering this transformative technology, you’ll position yourself as a valuable asset in today’s digital landscape. So, why wait? 

Take the leap, enroll in a blockchain technology course, and embark on a journey toward a brighter and more rewarding career in blockchain. The future of blockchain awaits – seize the opportunity and make your mark!

Key Takeaways: Remember These Blockchain Course Benefits

• Gain in-demand skills: Blockchain expertise is becoming increasingly sought-after by businesses across industries.
• Future-proof your career: Blockchain technology is here to stay, and a course equips you to be part of this revolutionary movement.
• Open doors to exciting opportunities: The applications of blockchain are vast, leading to a variety of career paths.
• Become a valuable asset: Companies are actively seeking individuals who understand blockchain and its potential to optimize operations.

Unlock Your Cybersecurity Future with IIT Guwahati & Imarticus Learning!

Say hello to the Advanced Certificate in Cybersecurity and Blockchain, brought to you by the experts at IIT Guwahati in collaboration with Imarticus Learning!

This program is your ticket to mastering a career in blockchain and the latest techniques in cybersecurity and cryptography – just like the pros do in the industry. You’ll learn how to defend against cyber threats, secure your data with encryption, and tap into blockchain’s game-changing potential across different sectors.

IIT Guwahati faculty and seasoned industry specialists meticulously design this curriculum. From networking fundamentals to ethical hacking and everything in between, we’ve got you covered for a strong blockchain developer career!

Get your hands with immersive lab sessions using top-notch tools like VMware, Kali OS, and more. Trust us, there’s no better way to learn cybersecurity techniques than diving right in!

Learn with cybersecurity gurus from IIT Guwahati and industry experts in live sessions. It’s your chance to explore topics like ethical hacking, vulnerability assessment, and blockchain concepts firsthand.

Picture yourself spending three awesome days soaking up knowledge on the vibrant campus of IIT Guwahati. Plus, you will also meet fellow students, faculty, and industry insiders – talk about networking gold!

Ever dreamed of becoming a Certified Ethical Hacker? 

With this program, you’ll gain the skills and knowledge needed to ace the CEH exam and take your cybersecurity game to the next level. From the basics to advanced techniques, we’ll equip you with everything you need to tackle real-world cyber challenges like a pro. 

So, what are you waiting for? Secure your spot in the Advanced Certificate in Cybersecurity and Blockchain today and take the first step towards an exciting career in cybersecurity! 

Databases have always been crucial in the business sphere and have become an integral part of every sector. SQL and MySQL are two major topics when working on databases. Where SQL is the query language, MySQL is the RDBMS platform that uses the SQL language to maintain and modify large amounts of data.

Read on to get a deeper understanding of SQL vs MySQL. Also, learn how both these components work and why they are important in the field of data science, and management.

What is a Database?

A database can be defined as an assortment or compilation of data that is stored in a digital system such as a computer or a server. A database is used to store and keep track of large amounts of data which becomes easier to manage when stored within a database. Users can also update and retrieve information as and when required without any hindrance.

Generally, a database appears in the form of tables consisting of the desired number of rows and columns. Tables are the foundation of a database. One can easily read and retrieve data from tables. Each column consists of one feature or component, such as names and serial numbers and the corresponding rows consist of the values that the user adds.

So the question of the difference between SQL and MySQL can easily be answered if one knows the concept of database and its usage.

SQL vs MySQL – What is the Difference?

Here comes the most important portion of the topic, SQL vs MySQL. It consists of the answers to ‘What is the difference between SQL and MySQL’. Even though both of them are closely related to each other, they possess certain differences that are listed in the following table: 

Basis	SQL	MySQL
What is it?	SQL is a well-organised query programming language that is used to manage relational database management systems.	MySQL is an open-source RDBMS which uses SQL language for working with data.
stands for	Structured Query Language.	’My’ is the name of the daughter of the co-founder, and SQL is an RDBMS that uses the SQL language.
Used for	Generally, SQL is used to write queries in order to operate and work with the database management systems.	On the other hand, MySQL assists users in modifying, deleting, updating and storing structured data within the platform.
Supports and is compatible with	SQL is less flexible and it does not support any connecting applications. It is not compatible with any connectors.	The MySQL platform has an inbuilt application, called the MySQL Workbench. This tool helps users to promptly create, build, modify and design various databases.
Storage capacity	There is only one single storage engine when SQL is concerned.	MySQL is a very flexible platform and it can support multiple storage engines. At the same time, it also comes with the facilities of plug-in storage.
format/structure	SQL only supports one single standard format. It does not come with frequent application updates.	MySQL platform, on the other hand, has variations and it comes with frequent updates. It helps the platform remain up to date with the latest technology inclusions.
manipulation of data	While working with SQL, it does not allow the processors to update or manipulate data at the time of execution. Hence, it is a secure language.	MySQL is less secure and prone to security threats as it permits third-party processes to access and modify information at the time of execution.

What is SQL?

While understanding the concept of SQL vs MySQL, one may often think what is SQL in DBMS? So the concept of SQL which is Structured Query Language can be defined as a standardised and widely recognised language that is often used to work on databases. Database management systems generally employ the use of SQL in order to maintain and manage the information contained in it. 

The standard SQL syntax provides the same type of syntax for performing different database functions, such as adding data, retrieving data, modifying data and so on. However, there can be negligible differences in syntax while working on different databases but the major part remains the same. 

Various SQL syntaxes allow users to perform different mathematical and management functions. It permits users to add or delete data, modify and update data, alter data and many other functions. 

What is an SQL Server?

To understand what SQL is and MySQL, it is important to understand the different components of SQL and SQL servers. SQL Server can be defined as the RDBMS, which expands to a Relational Database Management System developed by Microsoft. It works just like any other database and allows users to manage, store and retrieve information for a variety of services and applications.

The SQL server uses SQL language to work on and interact with the databases. SQL vs MySQL is a basic but important understanding for tech aspirants. SQL Server is also a programming language that performs tasks like filtering, sorting, creating tables, joining data, writing queries etc so that users can properly maintain track of data in an electronic form. 

Additionally, an important feature of SQL server is that it can provide high-end features such as more security, longevity of data, advanced availability and increased scalability. All kinds of businesses such as small-scale businesses and MNCs can make use of SQL servers for their web applications and data analysis processes.

What is MySQL?

MySQL is a type of relational database management system, and it is also one of the oldest RDBMS available. It was introduced in 1995 and has proven to be greatly helpful for the purpose of storing and managing data. MySQL AB developed this database and it was acquired by Sun Microsystems, which is present-day, Oracle Corporation. MySQL full form is ‘My’, which is the daughter of the co-founder and SQL is a relational database management system that uses Structured Query Language.

One question, what is MySQL used for? To understand this one should know that MySQL is an open-source application and was launched as an attempt to provide a platform for storing and managing well-organised data. MySQL is written in C and C++ programming languages and it is compatible with all available operating systems such as Linux, Unix, Windows etc. 

One can thoroughly understand SQL vs MySQL if one knows how the two components independently work. How is MySQL used and why it is important is a significant factor for database professionals. 

How Do You Use SQL With MySQL?

Many people wonder ‘Is SQL and MySQL same?’ Well, both of these are closely related, but it has some minor differences. SQL is commonly defined as a foundational language that is employed to manage and modify data in various databases, whereas MySQL is an open-source RDBMS that is compatible with the structured query language. 

In simple terms, SQL is the language and MySQL is the platform where the SQL language is used. It is one of the most common components of SQL vs MySQL. In order to use SQL in connection with MySQL, one needs to install the application of MySQL in their computer system along with a client application that is compatible with SQL.

If one wants to build communication with my SQL employing SQL, one needs to either employ a Graphical User Interface (GUI) tool or a command-line client that supports the working of SQL with MySQL. One can use common query statements to define the connection such as:

• SELECT
• INSERT
• DELETE
• UPDATE

Do All Databases Use SQL?

No, all databases do not use SQL. Databases have various kinds and most of them use SQL, but there are some other databases as well that use some other query, language and structures. Even though it is easier to manage relational databases by using SQL and it is one of the most convenient forms of database, there exist other forms as well.

Other databases like MongoDB and Cassandra, use a document-based approach and exhibit specialised query languages. These are also very promising databases, but these do not employ SQL. 

Another form of database, which is graphically extensive, such as Neo4j  uses organisational structures and some other particular programming styles, which again is not SQL.

Also Read: Top 50 SQL Interview Questions And Answers For 2024-25

What are SQL and MySQL Used For?

Almost every sector uses electronically controlled systems to store and manage large amounts of information. SQL is a command-based query language that is used to store, manage, update, modify, alter, and manipulate data in relational databases. Structured Query Language is expansively used in industries like IT, retail, healthcare, marketing, finance an so on.

SQL vs MySQL is a significant topic for understanding the variations in both components. MySQL is a famous open-source platform that uses the SQL language to communicate with databases and enhance the RDBMS functionalities. MySQL is the RDBMS that employs the structured query language to store, modify, alter, manage, and retrieve data from various web applications.

MySQL has the ability to develop robust and dynamic web pages when collaborating with programming languages like PHP. It elevates the capabilities of the open/source platform, which conclusively generates meaningful web applications and websites. One may consider signing up for the data science course to understand the deeper insights of both these components.

Commonalities Between SQL and MySQL

The topic of SQL vs MySQL also throws some light on the similarities between the two. Both SQL and MySQL are two crucial components in the sphere of data management. MySQL is one of the widely recognised open-source RDBMS platforms, whereas SQL is a popularly used query language. mostly, these two differ in their characteristics and features, but it has certain similarities as well.

The commonalities between SQL and MySQL are enumerated as follows:

• The data types used and supported by SQL and MySQL are very similar for example; numeric, string, boolean etc.
• Both SQL and MySQL have similar data modification and manipulation operators such as SELECT, UPDATE, INSERT, DELETE etc. 
• The syntax used by both SQL and MySQL are very identical to each other as the keywords used while writing the queries are similar. For example, both SQL and  MySQL make use of the keywords WHERE, ORDER BY, FROM etc. 

How to Choose Which is Best to Use Between SQL and MySQL?

When contemplating the question of whether should I learn SQL or mySQL, it’s crucial to understand that my SQL is essentially a specific implementation of SQL language. In order to modify, change and alter a relational database management system, individuals make use of SQL language. Hence, MySQL is the RDBMS platform and SQL is the query language that is used by MySQL. 

Both SQL and my SQL are important as both of them have different functionalities. While contemplating the topic of SQL vs MySQL, it is imperative to understand that one cannot work with MySQL without implementing SQL query language and vice versa. One must remember that MySQL is just one particular implementation of the SQL language. 

Conclusion

SQL vs MySQL is a very important topic for people who want to take up data science and computer applications as their field of career. There is no winning over the other, and no one can say which one is best because both SQL and MySQL have different characteristics and functionalities having limited similarities. The smartest thing to do is to use both of them together and take out the best output, considering the specific needs of the companies.
If you wish to learn more about databases, SQL, and MySQL consider enroling in the Postgraduate Program in Data Science and Analytics by Imarticus. This data science and analytics course will help you get a personalised learning experience with proper practical knowledge. This postgraduate programme will help you stand out among your contemporaries and help you advance in your professional life.

FAQ’s