BlackLake (cloud) vs governance-only
AI control and analytics is bigger than governance.
Capture, govern, cost, and prove — one ledger.
Governance-only platforms decide whether a call is allowed and write the decision to an audit log. AI control and analytics is the larger function — capture the action, govern it, cost it, and prove it with a receipt every other system can verify.
Feature comparison
AI control & analytics vs governance-only
Same allow / deny decision; the rest of the artifact is different.
| Feature | BlackLake | Governance-only platforms |
|---|---|---|
| Captures every consequential AI action | Yes — IDE, CI, shell, cloud, code, durable workflows | Limited — usually one capture path |
| Per-call dollar cost attribution | Yes — Anthropic, OpenAI, Bedrock, Vertex, Foundry, Gemini, Ollama | Rarely — cost is a separate product |
| Cost-aware policies (deny on spend, model, input length) | Yes — first-class DSL, monitor or enforce mode | No — policies see only the call shape, not the spend |
| Budgets that deny pre-spend at govern() time | Yes — workspace / AI Actor / tool / user, hard + soft | No |
| HMAC-signed receipts (independently verifiable) | Yes — paste into /verify, read the chain | Audit logs only — not signed |
| Decision tokens that bind cost cryptographically | Yes — v2 receipts | No |
| Policy simulation against historical traffic | Yes — with dollar-impact estimates | Sometimes — without cost |
| Two-person approval, break-glass, magic-link | Yes | Sometimes |
| Durable workflows under the same control layer | Yes — long-running AI work uses the same ledger | Out of scope |
| Signed exports for SIEM, BigQuery, finance | Yes — NDJSON + CSV with workspace HMAC | Plain audit log |
Why this matters
A governance decision without a cost is half a receipt.
When the auditor asks “was this AI action allowed?”, a governance platform answers yes or no. When the CFO asks “how much did this AI Actor cost us this quarter?”, the same platform shrugs. AI control and analytics answers both, on one record.
That matters because the buyers are different. Security cares about the decision and its evidence. Finance cares about the spend, attributed to the AI Actor that asked. Compliance cares about both, plus a receipt they can hand to an external auditor. Engineering cares about the policy not breaking the dev loop. Four buyers, one ledger.
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