OptimaTrust

Insights

AI assurance is not GRC — and why that distinction now matters

Policy libraries do not find prompt injection. Spreadsheets do not discover shadow agents. Here is the split buyers should insist on.

Enterprise GRC is essential. It owns the control library, the audit calendar, Quality, HSE, privacy programs, and the board pack. None of that tells you whether last night’s agent called a write tool it should not have, or whether the completions API you exposed fails a jailbreak pack.

AI assurance is the technical discipline: inventory what is running, test it, watch it, score it with deductions you can read, and hash the evidence. When vendors collapse those jobs into “AI GRC,” teams buy a workflow and skip the lab.

OptimaTrust is built as continuous AI assurance and security. Use-case gates and policy packs exist because you cannot assure a system with no intended use. They are not a substitute for OptimaGRC. If you need both, connect them: assurance evidence informs GRC risk; GRC does not become a model fuzzer.

A practical test: if the product cannot mark a scanner unavailable without painting a green pass, it is not an assurance system. It is a dashboard.

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Bring an agent API, a model endpoint, or a shadow-AI list. We will show registry, labs, score deductions, and evidence — not a GRC slide deck.