red-teaming

Probing AI systems for failures before adversaries do. This area covers adversarial testing of models and deployments: jailbreaks, prompt injection, data exfiltration, and the gap between benchmark performance and real-world robustness. Expect practical methods for stress-testing safety guardrails, mapping attack surfaces, and assessing how availability, access controls, and deployment choices shape a system's exposure. The focus stays on findings practitioners can act on.