AI-Powered Security Auditing
Use AI to find vulnerabilities in your code before hackers do. 8 hands-on lessons with real prompts, real bugs, and a security audit workflow.
In April 2026, Claude AI found 500+ zero-day vulnerabilities in production open-source software — including a FreeBSD kernel exploit in 8 hours and RCEs in Vim and Emacs that trigger just by opening a file. These bugs had survived decades of expert human review. AI found them with simple prompts.
The natural next question: “Can I use AI to find bugs in MY code?” Yes. And this course shows you exactly how — with real prompts, real vulnerable code, and a workflow you can start using today. No cybersecurity degree required. If you can read code and paste a prompt, you can do this.
By the end, you’ll have audited a real project, built a security prompt library, and produced a professional vulnerability report.
What You'll Learn
- Explain how AI models discover zero-day vulnerabilities using the MAD Bugs methodology
- Apply security-focused prompts to identify injection, overflow, and RCE vulnerabilities in code
- Execute a complete AI-assisted security audit on a real codebase
- Evaluate AI security findings for false positives and prioritize real threats
- Design a repeatable AI security review workflow integrated into your development process
After This Course, You Can
What You'll Build
Course Syllabus
Prerequisites
- Basic programming experience (any language)
- Access to an AI tool (Claude, ChatGPT, or Gemini)
Who Is This For?
- Developers who want to catch security bugs before they ship to production
- DevOps engineers adding security checks to CI/CD pipelines
- Tech leads responsible for code quality and security standards
- Anyone curious about AI for security after the MAD Bugs headlines
Frequently Asked Questions
Do I need cybersecurity experience?
No. This course teaches you to use AI for security — you'll learn the vulnerability types as you go. Basic programming knowledge is enough.
Which AI tools does this cover?
Claude, ChatGPT, and Gemini. The prompts and techniques work with any AI assistant. Claude tends to perform best on security tasks based on MAD Bugs results.
Will this replace professional penetration testing?
No — AI security auditing is a supplement, not a replacement. This course teaches you to catch common vulnerabilities that automated tools and casual review miss. For critical systems, you still want professional pentesters.
Is this about securing AI, or using AI for security?
Using AI for security — specifically, finding bugs in YOUR code. Not about AI safety, alignment, or prompt injection defense.
