Governance Frameworks for Real-World Agentic Systems

Develop comprehensive governance frameworks for agentic reasoning systems that integrate model-level alignment, agent-level policy controls, and ecosystem-level interaction oversight, and demonstrate their effectiveness under realistic deployment conditions.

Background

Governance of agentic systems is challenging due to long-horizon planning, persistent memory, and real-world action execution. Failures may arise from interactions across time and components, complicating attribution and auditing.

Existing guardrails and benchmarks primarily address short-horizon behaviors; planning-time failures and multi-agent dynamics remain underexplored. A holistic governance framework must address alignment, policies, and ecosystem interactions in realistic settings.