Google DeepMind Identifies Six 'Agent Traps' That Can Silently Hijack Autonomous AI Systems
A landmark Google DeepMind study has systematically mapped the attack surface of autonomous AI agents, identifying six categories of traps — from hidden HTML instructions to memory poisoning — that can covertly redirect agent behavior with success rates as high as 90%, as agentic AI deployments accelerate across enterprise and consumer applications.