Brief

AI agents are evolving from simple text generators to execution systems that can interact with tools, APIs, and servers, posing new risks beyond incorrect output. The critical challenge now is ensuring these agents have the correct runtime permissions to perform actions, which requires a control layer that enforces policies before execution. This new phase of agent infrastructure will focus on governed execution rather than just orchestration, with systems like Enforra aiming to provide this necessary control. AI

AI agents require a runtime control layer to manage their actions before they execute, rather than relying solely on prompts. This control layer acts as a gatekeeper, checking permissions for tool usage, parameter validity, and sensitive workflows to prevent unintended or harmful actions. Enforra is a new system designed to provide this controlled autonomy for AI agents, ensuring safety and security in production environments. AI