Generative AI in Cybersecurity

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Generative AI in Cybersecurity

COURSE OVERVIEW

Cybersecurity is entering a new era – powered by Generative AI. This course explores how GenAI is revolutionizing threat detection, risk management, and defensive strategies.

You’ll learn how to use AI models to generate synthetic attacks, automate SOC operations, strengthen compliance, and predict vulnerabilities before they occur.

Designed for professionals who want to stay ahead of evolving cyber threats, this course blends theory, practical case studies, and ethical perspectives on AI in security.

WHAT YOU'LL LEARN

By the end of this course, you’ll be able to:

How Generative AI enhances cybersecurity workflows and defense strategies
Techniques for generating synthetic attack scenarios and detecting anomalies
Automating Security Operations Centers (SOC) using AI
Applying AI to compliance, audit, and insider threat management
Using AI for zero-day exploit simulation, ethical hacking, and risk mitigation
Understanding the governance, privacy, and ethics of AI in cybersecurity

Defend Smarter. Predict Faster. Secure with AI.

CURRICULUM

Module 1: Introduction to Generative AI and Its Evolution

Topics Covered:

Discover what makes Generative AI revolutionary. Learn about its origins, evolution, and impact on industries.

What is Generative AI (GenAI)?
History and milestones in AI development
Traditional AI vs Generative AI
Key drivers: Big data, compute power, neural networks
Real-world applications
Limitations and ethical considerations

Module 2: Fundamentals of Large Language Models (LLMs)

Topics Covered

Understand how LLMs like GPT and BERT work behind the scenes and their responsible use.

How LLMs work (Transformers, Attention Mechanism)
GPT, BERT, T5, PaLM – comparisons & use cases
Training vs Inference
Prompt engineering basics
Zero-shot, few-shot, fine-tuning
Responsible use of LLMs

Module 3: Generative AI Tools and Platforms

Topics Covered

Explore the most popular and powerful AI tools used worldwide.

ChatGPT, Bard, Claude, Bing AI, GitHub Copilot
Image generation: DALL·E, Midjourney, Stable Diffusion
AI for video, music, and voice
Open-source vs Proprietary GenAI tools
Tool selection based on your goals

Module 4: Prompt Engineering and Task Design

Topics Covered

Master the art of writing precise prompts and designing AI-driven tasks.

Anatomy of a good prompt
Prompting strategies: Zero-shot, few-shot, chain-of-thought
Task types: summarization, translation, code generation, etc.
Tool-specific prompting examples (ChatGPT, Claude, Bard)
Avoiding hallucinations and bias via prompt tuning

Module 5: Ethical, Legal, and Societal Implications of GenAI

Topics Covered

Understand the moral and professional boundaries of using AI responsibly.

AI hallucinations, plagiarism, misinformation
Bias and fairness in LLMs
Copyright and content ownership
AI and job displacement
Global perspectives on AI regulation
Responsible AI frameworks (OECD, EU AI Act)

Module 6: GenAI in Everyday Productivity & Collaboration

Topics Covered

Turn AI into your productivity partner and workplace assistant.

Writing, summarization, and content creation with AI
AI in Excel, PowerPoint, CRM, and Docs
Workflow automation with Zapier and Make
AI for meetings, brainstorming, and reporting
Chatbots and virtual assistants

Module 7: AI in Threat Detection & Response

Topics Covered

Learn how AI can proactively identify and mitigate threats through automation, pattern detection, and intelligent simulations.

Generating synthetic attack scenarios with GenAI
AI for anomaly detection and fraud prevention
AI-driven Security Operations Center (SOC) automation
Case study: GenAI in phishing & intrusion detection

Module 8: Security Policy & Risk Management

Topics Covered

Discover how AI transforms compliance, governance, and enterprise-level risk management with precision and automation.

AI for compliance document drafting & audit preparation
Threat intelligence reporting with AI
AI for insider threat monitoring
Case study: AI in enterprise compliance frameworks

Module 9: Future of Cyber Defense with GenAI

Topics Covered

Explore the cutting-edge intersection of GenAI, cyber ethics, and future defense mechanisms in digital security.

AI-driven zero-day exploit simulation & patching
Adversarial AI and ethical hacking with GenAI tools
AI for digital identity & access management
Governance, ethics, and AI in national security

WHO SHOULD ENROLL

Cybersecurity professionals and analysts
IT managers and SOC specialists
AI and data science professionals interested in security
Compliance and risk management officers
Students and researchers exploring AI-driven security innovation

WHAT YOU'LL GET

Industry-recognized certification upon completion.
Hands-on projects on GenAI-driven cyber defense
Downloadable resources and toolkits for AI-based security workflows
Real-world case studies and AI security simulations
Access to Course Content

PROJECT SUBMISSION

Choose Your Project Topic

- Explore the project topics available in the LMS.
- Check the project description, learning outcomes, and required skills.
- Ask your guide/mentor if you need help selecting a topic.
- Finalize your topic and proceed.

Submit Your Project

- Follow the Project Submission Guidelines (format, font, spacing, citations).
- Your report will go through a plagiarism check, so keep it original.
- Upload your final PDF report and any supporting files to the LMS.

Project Evaluation

- Your project is evaluated by:
  - Organization Mentor
  - Internal Faculty Supervisor
- They assess you on:
  - Quality and clarity of your report
  - Depth of understanding
  - Application of concepts to real tasks
  - Problem-solving skills
  - Professional behaviour and timely submission
  - Viva/Presentation (if required)
- Credits (2–4) are awarded as per UGC NEP 2020 guidelines.

Certificates & Results

- Your Internship Certificate will be issued after:
  - Report approval
  - Evaluation completion
  - Uploading the organization certificate
- Download your Internship Completion Certificate directly from the LMS.

OUTCOME

By completing this course, you’ll be ready to:

Design, automate, and manage cybersecurity systems using Generative AI.
You’ll understand how to detect sophisticated threats, predict vulnerabilities, and develop ethical AI defense strategies that protect digital infrastructure in real time.