Five Primitives for Governing Autonomous AI Agents at Runtime

Explain Like I'm Normal

Researchers argue that traditional security fails for AI agents because they are ephemeral and unpredictable. They propose five 'runtime primitives' to control what agents can actually do in real-time, shifting focus from fixing the model's brain to building a better sandbox for its actions.