English(EN)Evaluating Bounded Autonomy in Regulated Agentic AI: A Diagnostic Harness with Constitutional Rewards, Escalation Labels, and Runtime Governance
新框架应对AI代理治理和安全挑战
作者PulseAugur 编辑部·[8 个来源]·
两篇新研究论文介绍了几种用于管理企业AI代理的框架。VeriWeave Govern专注于一个确定性的运行时治理层,该层根据版本化的策略评估代理行为并验证证据,在评估中实现了高准确率和零误放。RegLLM提出了一个用于有限自主性的诊断工具包,用于衡量可信度信号,如引用有效性和宪法一致性,并展示了配置差异如何影响代理指标。第三项讨论了AgentKernel,一个原生信任操作系统,旨在强制执行AI代理生命周期中的安全原则,包括身份、感知、认知和执行。
AI
arXiv:2609.37457v1 Announce Type: new Abstract: Enterprise artificial-intelligence agents increasingly call tools, modify infrastructure, and process protected data, creating a need to separate action generation from action authorization. This article presents VeriWeave Govern, a…
We propose RegLLM, a diagnostic harness for bounded autonomy in regulated agentic workflows. It instruments six trustworthiness signals: citation validity, source grounding, schema compliance, escalation correctness, constitutional alignment, and unsafe-action rate. Signals are d…
Enterprise artificial-intelligence agents increasingly call tools, modify infrastructure, and process protected data, creating a need to separate action generation from action authorization. This article presents VeriWeave Govern, a deterministic runtime governance layer that eva…
arXiv:2609.29647v1 Announce Type: cross Abstract: Modern AI agents routinely cross trust boundaries: they ingest untrusted content, combine it with privileged instructions, persist intermediate beliefs in long-term memory, and invoke privileged tools. This creates an attack surfa…
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<blockquote> <p>Originally published at <a href="https://smartgate.network/industry/ai-agent-governance?utm_source=devto&utm_medium=syndication" rel="noopener noreferrer">AI Agent Governance: Who Can Call What, Where Limits Live</a> on smartgate.network.</p> </blockquote> <p>…