Safety

AI Red Teaming

Adversarial testing of AI systems to surface safety, security, and reliability failures before users do.

Red teaming covers jailbreaks, prompt injection, data exfiltration, biased outputs, harmful content, and tool-use abuse for agents.

Modern red teams blend manual probing with automated attack generation (PAIR, GCG, automated jailbreak suites) and track findings as a regression suite.

Go deeper

Read the full pillar guide on LLM Evaluation or compare evaluation tools in the Tool Comparison Hub.