Stop the insider threat lurking in AI agents

AI agents are already operating with human-level permissions inside enterprises, creating a new insider-risk class where autonomous actions can expose data, misuse credentials, or trigger unauthorized workflows at machine speed. For CIOs, the strategic implication is that AI governance cannot stop at inventory, policy, or model-layer controls; IT and security teams need runtime visibility and response on the endpoint to manage risk, preserve accountability, and prevent regulated-data incidents. Organizations that don’t adapt their security architecture for agentic systems will face growing operational, compliance, and reputational exposure as adoption scales.