AI Safety & Security

Powerful AI systems expand both capability and attack surface. This topic examines cyber offense and defense, prompt and tool abuse, software supply-chain risk, model failure, privacy, red-teaming, containment, reliability, and validation in high-stakes settings.

Coverage prioritizes operational threat models over abstract reassurance. The useful question is how a system can fail, be exploited, or exceed its intended authority—and which evaluations, permissions, sandboxes, and human review practices reduce that risk. Public regulation appears here only when it directly shapes those technical controls.