Securing Agentic AI as a Digital Insider

Agentic AI changes enterprise security because autonomous systems can access tools, call APIs, manipulate data, and trigger workflows with delegated authority. The article explains why agents should be treated as non-human identities and outlines risks such as goal hijacking, tool misuse, privilege abuse, memory poisoning, insecure inter-agent communication, and rogue agents. It also describes controls including human oversight, zero trust, least agency, sandboxing, prompt injection defenses, secure agent communication, and immutable audit logs. Technology leaders should evaluate agentic AI security at the architecture, identity, runtime, and governance levels before production adoption.