Join the community defining AI security architecture, evaluation, and defense.

Alongside hundreds of peers, break down:

→ The anatomy of an AI attack: dissect real exploit paths and design countermeasures that stand up in production.

→ Red teaming frontier models: surface prompt injections, model drift, and jailbreaks before they propagate.

→ Engineering trust at scale: implement uncertainty-aware LLMs and reliability patterns for agentic systems.

→ Control loops and containment: build adaptive safeguards that monitor, constrain, and stabilize autonomous behavior.