AI/LLM Red Team Handbook and Field Manual
I've published a handbook for penetration testing AI systems and LLMs: https://cph-sec.gitbook.io/ai-llm-red-team-handbook-and-field-manual
Contents:
AI/LLM reconnaissance methodologies
Prompt injection attack vectors
Data exfiltration techniques
Jailbreak strategies
Automated testing tools and frameworks
Defense evasion methods
Practical attack scenarios
Target audience: pentesters, red teamers, and security researchers assessing AI-integrated applications, chatbots, and LLM implementations.
Open to feedback and contributions from the community.