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Glossary / Prompt Injection Defense
Definition
Prompt injection defense protects AI agents from hidden instructions that hijack them into unintended actions. Because a hijacked model will defend the attack, the Agent Action Guard scores the proposed action’s semantics independently of the agent’s reasoning — so a hijacked agent still can’t make a destructive tool call look safe.
A defense that trusts the agent’s reasoning is trusting the thing the attacker just took over; a static blocklist only knows yesterday’s attacks. The only check that holds judges the action and ignores the justification.
The Agent Action Guard scores the embedding of the tool call against a learned map of safe versus harmful actions, runs as a pre-call gate alongside the deterministic blocklist, is on by default, and fails open. Every embedding-based block is recorded and anchored for review.
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