AI red teaming

Adversarial testing of AI systems (models, agents, and RAG pipelines) to find vulnerabilities before attackers do. Modern AI red teaming uses an adaptive, LLM-driven attacker that adjusts its approach across many techniques and maps findings to frameworks such as the OWASP LLM/Agentic Top 10 and MITRE ATLAS.