Closing the agent governance gap

AI agents are rapidly expanding across enterprise environments through vendor, platform-native, and employee-built use cases, creating a governance gap that can expose sensitive data and workflows even when no single platform appears risky. For CIOs and technology leaders, the strategic imperative is to move beyond build-time checks and implement continuous runtime oversight, unified inventory, and identity-based controls so agents operate only within tightly defined business boundaries. IT organizations will need to treat agents like temporary, scoped employees with least privilege, short-lived access, and cross-platform visibility to prevent benign automation from becoming an attack chain.