Tag
PolicyMem proposes a geometric policy memory for LLM governance, externalizing natural-language policies as reusable geometric objects to enable detect-rewrite-verify loops with state-of-the-art unsafe behavior detection.
Conduct is an open-source runtime governance system for AI agents that enforces policies before actions execute, with signed configuration and hash-chained audits for LLM and MCP tool calls.
The paper distinguishes generated context from governed state in clinical AI, arguing that accountable longitudinal reasoning requires a governed patient state representation and proposes a tiered governance standard and maturity framework.
This paper introduces five governance metrics to quantify policy compliance at the decision rationale level for LLMs in regulated financial workflows, finding that mechanical enforcement (operating outside the model's interpretive loop) reduces non-informative deferrals by 73% and reveals governance-task decoupling: text-only governance degrades on both dimensions under stress, while mechanical enforcement preserves governance quality even as task performance drops.