Learn direct instruction override, system prompt leaking, secret extraction, role-play jailbreaks, and indirect RAG injection — each with real, copy-ready prompts you can use immediately.
Understand why each attack works, what to do when your first attempt is refused, and exactly how to recognize a successful break — no guesswork required.
Get the trust-boundary model that explains why stricter system prompts don't fix prompt injection, plus a quick-reference list of mitigations and a responsible-testing checklist.
Your AI Systems Are Being Tested. Make Sure You Test Them First.
Prompt injection is the #1 risk on the OWASP LLM Top 10, and attackers know it. If you're securing AI systems, assessing LLM-powered applications, or building features on top of large language models, you need a systematic way to find these vulnerabilities before someone else does. This cheat sheet is your field guide. It's a one-page reference designed for security engineers, penetration testers, AppSec professionals, red-teamers, and developers — no machine learning background required. Just solid security fundamentals and the practical examples inside. Open it while you're testing. Reference the five attack classes. Use the copy-ready prompts. Check your defenses. Test responsibly. That's it. No more wondering if you've covered all the angles. No more hoping your mitigations actually work.
Built by Security Practitioners, For Security Practitioners
This cheat sheet was created by security professionals who've spent thousands of hours testing AI systems in the real world. We know what works because we've done it. We know what doesn't because we've failed at it. And we know what you need because we've been in your shoes — facing tight deadlines, unclear requirements, and the pressure to find vulnerabilities before they become incidents. We built this guide to be the resource we wish we'd had: fast, practical, and immediately actionable. No theory. No fluff. Just the patterns that matter, the attacks that work, and the defenses that actually hold up. Whether you're a security manager trying to understand if your AI systems are safe, a penetration tester adding LLM testing to your toolkit, or a developer building responsible AI features, this guide speaks your language and respects your time.
Get Your LLM Security Cheat Sheet Today
Download the one-page field guide that security professionals trust to test AI systems systematically. No signup hassle. No gatekeeping. Just practical, copy-ready attack examples and defensive mitigations you can use immediately. Whether you're red-teaming, assessing security, or building AI features, this is your reference.
Get your free cheat sheet now