Enterprise AI Governance Moves From Policy To Runtime Controls

Enterprise AI governance is moving beyond written policies as companies deploy autonomous systems that can access data, invoke software tools and act across business workflows. The shift reflects a practical limitation of predeployment reviews: A policy can define what an agent is permitted to do, but organizations also need visibility into its actions while it operates across cloud services, employee devices and enterprise systems. Runtime governance must cover an agent’s behavior during execution. Singulr applies controls to local AI tools on employee endpoints, including whether they can access the internet or send email.

Source: TokenPost