AI Governance Platform: A 2026 Buyer's Guide
"AI governance" now covers everything from model cards to prompt firewalls. If you are buying, the useful question is narrower: which controls actually sit in the request path between your applications and the model providers?
The four layers of a real platform
- Detection — regex plus NLP models that find PII, financial identifiers and contract clauses in prompts and completions.
- Policy — rules per data type, role, org and provider, with actions: tokenize, mask or block.
- Vault — reversible tokenization with encrypted originals and audited reveal.
- Evidence — an immutable log of every interaction: entities detected, decision taken, user, timestamp.
Tools that only produce documentation or dashboards fail the first audit question: show me the prompt that was sent to OpenAI.
Evaluation criteria that matter
1. Latency budget
Inline scanning adds milliseconds to every call. Ask for p95 overhead with your own payload sizes, not a synthetic benchmark.
2. Provider neutrality
A governance layer that only supports one vendor becomes a migration blocker. Check OpenAI, Anthropic, Gemini and self-hosted endpoints.
3. Output scanning
Most vendors scan prompts only. Models leak PII in completions too — from RAG context or memorized training data. Ask whether responses are scanned, and what happens with streaming: with SSE, masking mid-stream is not possible, so output scanning is audit-only unless you buffer the response.
4. Multi-tenancy and roles
Strict org separation, RBAC and DPO-scoped views are table stakes for regulated buyers.
5. Exportable evidence
Auditors want CSV and signed reports, not screenshots. Optional blockchain certification helps where non-repudiation is required.
Common pitfalls
- Buying a policy documentation tool and calling it enforcement.
- Client-side redaction that any developer can bypass.
- Irreversible masking where the workflow needs the original value back.
- No plan for streaming responses.
If you want the checklist applied to a concrete architecture, see the Privaro governance platform overview or the EU AI Act compliance guide.