What is Agent Hijacking?
Agent hijacking is a useful umbrella term for redirecting an AI agent from its intended objective or abusing its access to tools, identities, or data. It is not a single standardized attack category. The mechanism may be indirect prompt injection, a compromised session or API key, excessive tool permissions, or a vulnerable tool or server.
Ai agent hijacking risks should be assessed in the context of the system, data flows, identities, integrations, and decision consequences. A precise boundary helps owners evaluate the exposure without overstating what one control can achieve.
What is Agent Hijacking used for?
The term helps teams discuss the combined risk of untrusted content and delegated authority; it must not replace diagnosis. Identify the initial influence path, affected asset, permissions, and attempted action. Apply least privilege per tool, separate read from write authority, validate actions in code, and require human approval for irreversible operations. “Guardrailed” is not an enforceable trust boundary.
