Red teaming
LLM red teaming for enterprise deployments
29 single-turn and 5 multi-turn jailbreak techniques. OWASP LLM Top 10 and MITRE ATLAS mapped. Refusal-aware judges. Evidence your CISO can show the board.
LLM red teaming is adversarial testing of large language models and agentic systems to discover prompt injection, jailbreaks, data exfiltration, and tool-abuse vulnerabilities before attackers do — mapped to OWASP LLM Top 10 and MITRE ATLAS.
Key takeaways
- Point-in-time pen tests miss model updates; continuous red teaming catches regression after every prompt or model change.
- AgenticAssure runs 34 techniques including TAP tree jailbreaks, crescendo escalation, and Bad Likert Judge attacks.
- AI Firewall modes: Block, Redact, Observe — with simulate-before-enforce in Control.
Single-turn vs multi-turn attacks
Single-turn attacks (prompt injection, DAN, encoding tricks) test immediate bypass. Multi-turn attacks (linear, TAP tree, crescendo, sequential, Bad Likert Judge) test conversational safety drift — where production chatbots actually fail.
Questions compliance teams ask
How many attack techniques does AgenticAssure support?
34 total: 29 single-turn and 5 multi-turn jailbreak techniques, all mapped to OWASP LLM Top 10 categories and MITRE ATLAS TTPs.
What is the OWASP LLM Top 10?
The OWASP Top 10 for Large Language Model Applications (2025) lists the most critical LLM security risks including prompt injection, sensitive disclosure, and excessive agency. AgenticAssure covers all ten categories with 27 vulnerability checks.