Explore the other products and deep-dive capability briefs that complete the AgentTrust OS trust layer.
Sits between your certified agents and every business action they take — validating outputs, scoring confidence, assessing risk, and making governance decisions in real time.
Gives CIOs, CISOs, and Risk Officers the complete picture of what your AI agents have done, why they did it, and whether it meets your compliance obligations.
Two-layer semantic defense — confidence gate first, LLM judge second — catches adversarial payloads before any action executes, without relying on pattern lists that attackers already know how to evade.
Explore →Four injection-proof, model-free deterministic gates evaluate every request before an LLM ever sees the payload — the decision is made and enforced entirely outside the model.
Explore →Intent-based, pre-execution defense scores confidence first then runs semantic intent evaluation — catches framing attacks without keyword lists that attackers trivially bypass.
Explore →Behavioral drift tracking compares each agent's history and fleet baselines across turns — salami campaign injections that look innocuous message-by-message become visible as a pattern.
Explore →Deterministic-first architecture puts four gates in front of every request — the async LLM judge enriches the audit record after the fact, but it never touches the verdict.
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