Agentic AI Is Creating a New Class of Cyber Threats

Agentic AI — systems that autonomously plan, execute, and interact with tools, APIs, and other agents — dramatically expand the cybersecurity attack surface beyond what traditional defenses can handle. Unlike passive AI, agentic systems can be weaponized through prompt injection, memory poisoning, identity spoofing, and cascading multi-agent compromise. Because agents act like "confused deputies" — following malicious instructions as if they were legitimate tasks — standard firewalls and access controls often fail silently. Defending against these threats requires a layered approach: strict prompt validation, ephemeral identity tokens, behavioral monitoring, human-in-the-loop checkpoints, and threat modeling baked into the agent development lifecycle — not bolted on after deployment.