Procurement questionnaires now include AI agent robustness. Regulators require adversarial testing evidence. Your security team needs something between annual audits.
Multi-week engagement. Custom adversarial scenarios. Boardroom-ready deliverables. Cryptographically signed.
High-risk AI systems must demonstrate adversarial robustness. Behavioral evidence under pressure — not documentation review.
Measure 2.6 and 2.7 require adversarial testing with documented results. Increasingly referenced in federal contracts and procurement.
Industry standard for AI agent security risks. Our evaluation maps directly to the categories that matter for your security posture.
"Has your AI agent been independently tested for adversarial robustness?" The question is showing up in enterprise procurement. You need a signed answer.
Custom adversarial scenarios designed for your specific agent architecture, domain, and risk profile
Live walkthrough with your CISO and security team — methodology, findings, mitigations
Executive summary — boardroom-ready, non-technical, with clear pass/fail and severity
Technical report — per-category breakdown, trajectory analysis, violation details with evidence
Framework mapping — results mapped to NIST AI RMF, OWASP, MITRE ATLAS, EU AI Act Article 15
Ed25519-signed certificate — cryptographically verifiable, with trajectory hash and timestamp
Re-evaluation cadence — ongoing assessment as your agents evolve, not a one-time snapshot
Accreditation bodies (Schellman, AIUC-1) audit organizational processes. We test agent behavior under adversarial conditions. You need both. We provide the behavioral evidence that lives between annual audits — continuous, signed, verifiable. Your auditor will thank you for having it.
Custom engagement. Boardroom-ready. Cryptographically signed.
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