Analysis · curated 22 Sep 2026
Part 5 | AI Jailbreaks Explained: How Hackers Bypass AI Guardrails | AI Security
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Why it matters
AI jailbreak techniques against deployed LLM guardrails are a core concern for defenders securing GenAI applications, and this educational breakdown maps the attack surface and testing methodology red teams use.
Part 5 of the Pentest Diaries "AI Guardrails" video series explains how AI jailbreaks bypass safety controls, covering technique families such as role-play/context manipulation, encoding and obfuscation, multi-turn attacks, instruction fragmentation, and adversarial suffixes, and how professional red teams turn model misbehavior into reproducible findings. The video frames the full LLM attack surface (input → guardrails → model → conversation state → RAG/tools → output controls) and advocates defense-in-depth and fixing failure classes rather than blocking single prompts.