Enterprise AI agents escape internal tracking and control
Source: SiliconANGLE
As AI systems move from experimental tools to production workflows performing autonomous tasks, companies lack basic visibility into what AI systems they operate, how they're configured, and what data they access—a governance blind spot that combines operational risk with security exposure. Unlike traditional software deployments where IT maintains asset inventories, AI agents self-modify, spawn subtasks, and operate across team boundaries, making centralized governance architecturally harder and creating liability gaps that insurers and regulators will eventually force companies to address.