Your agents have keys to sensitive systems. Prove they can be trusted.
TrustAI maps what every agent can reach and wreck, then verifies it's under control. Continuous visibility and reliability at scale.
What we test
Six risk categories. Evidence behind every result.
Correctness & control.
We put the agent through real decisions to see whether it gets them right and respects its limits.
See the testsHallucination & grounding.
Every answer has to trace back to information the agent was actually given.
See the testsRobustness at scale.
Longer documents and heavier workloads should not make the agent less reliable.
See the testsSecurity & adversarial.
We use prompt injection and red-team attacks to find weaknesses before someone else does.
See the testsData privacy.
We test whether personal, confidential, and proprietary data stays where it belongs.
See the testsEfficiency & usage.
We measure how much time, money, and compute it takes to get reliable work done.
See the testsWho it's for
Evidence your reviewers can act on.
Data quality · Grounding
Catch hallucinations before users do
Every asserted fact traced to source data, stale records flagged, and overclaiming under missing input measured per agent.
See the evidence
Internal audit · Adversarial
Quantify jailbreak resistance
Hundreds of pooled attack attempts per agent, with the attack-success rate gated on its confidence-interval upper bound.
See the evidence
Compliance · Audit-ready
A verdict mapped to your controls
Every risk mapped to SOX, ITGC, ISO 27001, GxP, and the EU AI Act, ready to hand to your auditors.
See the evidence
