What We Offer
Six specialized services covering the full AI assurance lifecycle — from adversarial testing before deployment to monitoring and governance after. Each engagement is scoped to your specific risk surface and regulatory context.
Structured adversarial testing of language model applications to surface failure modes before an attacker or regulator finds them. We probe for prompt injection, jailbreak resistance, system prompt extraction, training data leakage, and agentic tool-use abuse.
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Independent assessment of model behavior across bias and fairness, robustness under distribution shift, output consistency, and performance degradation over time.
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For providers and deployers of high-risk AI systems: classification, gap assessment, and the documentation artifacts conformity assessment requires.
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Gap analysis and control mapping across the four NIST AI RMF functions — Govern, Map, Measure, and Manage — with a prioritized remediation roadmap.
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Policy, process, and oversight structure design for organizations standing up an AI governance function — defining who approves what and how AI risk decisions are escalated.
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Instrumentation and monitoring design for AI systems in production — what to log, what to alert on, and how to detect behavioral change before it becomes an incident.
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