Generative AI for Cybersecurity: ChatGPT &; Codex


Generative AI for Cybersecurity: ChatGPT & Codex
Published 10/2026
Created by Rafał Podraza
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 59m ) | Size: 2.6 GB

Use ChatGPT and Codex for vulnerability analysis, threat detection, incident response, secure code review and testing.

What you’ll learn
⚡ Understand how AI supports cybersecurity work
⚡ Use ChatGPT for security analysis
⚡ Use Codex for secure code review
⚡ Analyze vulnerabilities with AI assistance
⚡ Review security logs and alerts
⚡ Support incident response activities
⚡ Generate security tests and scripts
⚡ Create and improve detection rules
⚡ Identify insecure coding patterns
⚡ Apply Human-in-the-Loop validation

Requirements
❗ Basic understanding of cybersecurity concepts
❗ No previous AI experience required
❗ Curiosity and interest in practical cybersecurity

Description
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 howChatGPT 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 useBookStay, 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 onrealistic security scenarios, practical prompts, code analysis, and hands-on workflows that you can reuse in your own work.

What You’ll Learn
✨ How Generative AI can support SOC, AppSec, and Incident Response teams

✨ How to use ChatGPT and Codex effectively in cybersecurity workflows

✨ How to perform AI-assisted vulnerability analysis

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

✨ How to analyze security logs and suspicious authentication activity

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

✨ How to classify and prioritize security alerts

✨ How to extract Indicators of Compromise and prepare investigation summaries

✨ How to investigate a simulated account takeover incident

✨ How to determine incident scope and business impact

✨ How to prepare containment, remediation, and root cause analysis

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

✨ How to generate security log analysis scripts with Codex

✨ How to create AI-assisted detection rules

✨ How to perform secure code reviews and generate security regression tests

✨ How to refactor insecure code and validate security fixes

✨ How to protect sensitive data when working with AI

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

✨ How to apply Human-in-the-Loop principles in cybersecurity

Hands-On BookStay Security Lab
Throughout the course, you will work with theBookStay 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 anAI 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 atheoretical final exam to verify your understanding of the most important concepts.

Who this course is for
⭐ Cybersecurity professionals
⭐ SOC analysts
⭐ Anyone interested in AI-assisted security workflows


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