Generative AI for Cybersecurity: ChatGPT & Codex

This course contains the use of artificial intelligence.

Generative AI for Cybersecurity: ChatGPT & Codex

Learn how to use Generative AI, ChatGPT, and Codex to analyze vulnerabilities, investigate security events, respond to incidents, and improve secure code.

Welcome to “Generative AI for Cybersecurity: ChatGPT & Codex” – a practical, hands-on course for cybersecurity professionals, developers, QA engineers, and IT specialists who want to understand how AI can support modern security workflows.

In this course, you’ll discover how ChatGPT and Codex can assist with vulnerability analysis, security log investigation, threat detection, incident response, secure code review, security testing, and automation.

Instead of working only with theory, you will use BookStay, a realistic security training application with users, bookings, APIs, security logs, alerts, incidents, detection rules, and controlled attack simulations.

No unnecessary theory overload – the focus is on realistic security scenarios, practical prompts, code analysis, and hands-on workflows that you can reuse in your own work.

What You’ll Learn

1. How Generative AI can support SOC, AppSec, and Incident Response teams

2. How to use ChatGPT and Codex effectively in cybersecurity workflows

3. How to perform AI-assisted vulnerability analysis

4. How to identify Broken Access Control, IDOR, Mass Assignment, and sensitive data exposure

5. How to analyze security logs and suspicious authentication activity

6. How to detect brute-force attempts, booking enumeration, and unauthorized access patterns

7. How to classify and prioritize security alerts

8. How to extract Indicators of Compromise and prepare investigation summaries

9. How to investigate a simulated account takeover incident

10. How to determine incident scope and business impact

11. How to prepare containment, remediation, and root cause analysis

12. How to create a professional post-incident report with AI assistance

13. How to generate security log analysis scripts with Codex

14. How to create AI-assisted detection rules

15. How to perform secure code reviews and generate security regression tests

16. How to refactor insecure code and validate security fixes

17. How to protect sensitive data when working with AI

18. How to recognize AI hallucinations, prompt injection, and AI-agent risks

19. How to apply Human-in-the-Loop principles in cybersecurity

    
    

Hands-On BookStay Security Lab

Throughout the course, you will work with the BookStay Security Lab, where you will:

• Analyze vulnerable API endpoints

• Investigate authentication and authorization problems

• Generate controlled security events

• Analyze logs with ChatGPT

• Investigate alerts and incidents

• Simulate an account takeover

• Perform root cause analysis

• Create containment and remediation plans

• Build detection rules

• Generate security tests with Codex

• Refactor insecure code

• Validate security fixes

  
  

Practical Exercises

The course also includes practical exercises where you will apply the techniques independently.

You will analyze security evidence, work with suspicious activity, review code, and make decisions based on the available data.

You will also complete an AI Security Analyst role-play, where you investigate a suspected account takeover and prepare a concise security briefing.

At the end of the course, you will complete a theoretical final exam to verify your understanding of the most important concepts.

Who This Course Is For

• Cybersecurity professionals who want to use Generative AI in daily security work

• SOC analysts interested in AI-assisted log and alert analysis

• AppSec engineers and developers performing secure code reviews

• QA and automation engineers interested in security testing

• Incident Response professionals who want to improve investigation workflows

• IT professionals interested in practical AI applications in cybersecurity

• Beginners who want to understand how ChatGPT and Codex can support security work

No previous experience with Generative AI is required. Basic knowledge of software, APIs, or cybersecurity concepts will be helpful.

Why Take This Course

• Focus on practical cybersecurity use cases

• Hands-on work with ChatGPT and Codex

• Realistic BookStay Security Lab

• Vulnerability analysis, logs, alerts, incidents, and code review in one course

• Practical security automation and testing

• Strong focus on human validation and responsible AI use

• Realistic workflows instead of purely theoretical examples

  
  

Start Learning Today

Learn how to combine cybersecurity knowledge with the capabilities of modern Generative AI.

Use ChatGPT and Codex to analyze faster, investigate more effectively, review code, automate repetitive tasks, and support better security decisions.