Lilly Tech Systems
Learn Jailbreak Prevention
Understand how attackers bypass AI safety guardrails through DAN attacks, role-play exploits, encoding bypasses, and multi-turn manipulation — and learn proven defense strategies to harden your AI systems against these threats.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
What is jailbreaking? Understand the threat landscape, motivations behind attacks, and why prevention matters for AI safety.
2. Jailbreak Techniques
Deep dive into DAN attacks, role-play exploits, encoding bypasses, multi-turn manipulation, and payload splitting.
3. System Prompt Hardening
Write robust system prompts that resist manipulation. Learn defensive prompt engineering and layered instruction design.
4. Constitutional AI
Explore how Constitutional AI and RLHF create models that inherently resist jailbreaks through value alignment.
5. Detection
Build real-time jailbreak detection systems using classifiers, heuristics, perplexity analysis, and anomaly detection.
6. Best Practices
Production-ready defense strategies, red teaming methodologies, monitoring, and continuous improvement frameworks.
What You'll Learn
By the end of this course, you'll be able to:
Identify Attack Vectors
Recognize DAN prompts, role-play exploits, encoding bypasses, and multi-turn manipulation attempts before they succeed.
Harden System Prompts
Write defensive system prompts with layered instructions, boundary reinforcement, and resistance to override attempts.
Build Detection Systems
Implement real-time jailbreak detection using ML classifiers, regex patterns, and perplexity-based analysis.
Deploy Defense in Depth
Create multi-layered security architectures that combine prompt hardening, detection, and response strategies.