Study: AI Agent Rules Need Context and Layered Enforcement

A new empirical study finds that static rules are insufficient for governing AI agents; effective policy enforcement requires contextual awareness and layered approaches. The research, published on Eunomia.dev, highlights the complexity of ensuring AI agents act safely in dynamic environments. These findings have implications for developers building agent-based systems.