Real Vulnerabilities. Real Targets.

You're not practicing on toy examples. Each week, you'll test actual AI agents and systems, discovering real vulnerabilities in prompt injection, tool abuse, data exfiltration, and access control. Your findings become portfolio pieces that prove your expertise to clients and employers.

Live, Hands-On Mentorship

90-minute weekly sessions with experienced security engineers who are actively doing this work. You'll get direct feedback on your findings, learn the shortcuts that take years to discover alone, and build relationships with people working at the edge of AI security.

From Finding to Report

Knowing how to find a vulnerability is only half the battle. Learn how to write client-grade findings that explain the weakness, demonstrate the impact, prove it works, and propose the fix. This is the skill that separates hobbyists from professionals getting paid for their work.

About the Course

You already know security fundamentals. You're comfortable in a terminal. But AI is moving fast, and most security teams are scrambling to understand where the actual risks are in their AI systems. This course closes that gap. Over 8 weeks, you'll learn the complete methodology for testing AI agents: how to map an agent's model, tools, and decision loop; how to exploit prompt injection—both direct and indirect; how to abuse tools and trigger excessive agency; how to exfiltrate data and exploit insecure output handling; how to find broken access control in AI systems; and how to chain multiple findings into a real attack. But this isn't theoretical. You'll test real agents, document your findings in professional reports, and walk away with a portfolio of actual security research. By week 8, you'll present your end-to-end testing of a live AI agent and get one-on-one feedback from your mentor. This is the skill set companies are desperately looking for. Whether you want to move into AI security full-time, add it to your penetration testing toolkit, or start finding vulnerabilities for clients, this course gives you the real-world experience to do it. **Ready to become one of the few security professionals who actually knows how to test AI?** Enroll now and lock in your spot in the next cohort.

Built by Practitioners, For Practitioners

This course was created by security engineers and penetration testers who are actively testing AI systems for vulnerabilities right now. We've seen the gaps in the market—the lack of real training on AI security—and we built this to fill it. We're not here to sell you theory or hype. We're here to teach you the exact methodology we use in our own work, the mistakes we've made so you don't have to, and the shortcuts we've discovered through real engagements. Every module is built around actual vulnerabilities we've found, actual clients we've worked with, and actual findings that matter. Our goal? To help you become the kind of security professional who can walk into a room, understand an AI system, find its weaknesses, and write a report that gets it fixed. That's valuable. That's hireable. That's what we're teaching.

Your 8-Week Journey

5 Chapters · 5 Lessons

    1. (Included in full purchase)

      Threat-Modeling AI Agents

    1. (Included in full purchase)

      Tool Abuse and Excessive Agency

    1. (Included in full purchase)

      Broken Access Control Tactics

    1. (Included in full purchase)

      Creating a Client-Grade Finding Report

    1. (Included in full purchase)

      One-on-One Review of Findings

What People Are Saying

Join practitioners who've already built their AI security expertise and landed high-value work. This course isn't just theory—it's a direct path to becoming the security professional companies are searching for.

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The biggest shift was learning to look at an AI application like an attacker. LufSec’s Introduction to Prompt Hacking for LLMs gave me a practical starting point for testing how prompts can push an application beyond its intended boundaries.
Daniel Brooks

Application Security Analyst

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I wanted to understand how to approach an IoT security assessment, and this training helped connect the pieces. Working through the exercises gave me a clearer process for investigating a device, identifying potential weaknesses, and deciding what to test next.
Maya Chen

Embedded Security Engineer

Don't Wait for AI Security to Become Obvious

The window for early expertise in AI security is open right now. In a year, every security team will have someone focused on this. Be the person they hire. Enroll in the next cohort and start building your portfolio of real findings this week.

Enroll Now