AgenticOps is the set of operational practices used to run AI agents safely in production. It covers identity management, access control, approval workflows, monitoring, rollback, and reliability testing for systems that can choose actions and call tools with limited human input.
In cyber security, AgenticOps matters because an agent with the wrong permissions can become a fast path to data exposure, unwanted transactions, or destructive changes. Defenders use AgenticOps to limit what an agent can see and do, require human approval for sensitive actions, and watch for drift, prompt manipulation, and abnormal tool use. In real environments, it appears as continuous validation, strong service identities, scoped credentials, detailed logs, and incident response plans for AI-driven workflows. The goal is to treat agents like high-trust production services, not just chat interfaces.