Every AI call your team makes — every prompt, every multi-agent run, every Cursor session — passes a policy gate, lands in a tamper-evident audit log, and exports as a signed Evidence Pack your auditor can verify offline.
Built for CISOs and Risk Officers who need to defend AI use cases before a regulator does.
Every AI decision lands in a cryptographically chained log scoped per tenant, so cross-tenant tampering is structurally detectable. Export as a signed Evidence Pack — a standalone offline verifier ships in the bundle so your auditor can verify it without backend access.
Control library aligned with NIST AI RMF, ISO/IEC 42001, and EU AI Act evidence expectations — pre-mapped per skill, with per-org overrides. A closed-set guard cross-checks every cited control ID against a curated truth set so fabricated references can't pass. Proofpane supports operational evidence; it does not replace legal, regulatory, or certification assessment.
Per-org monthly USD cap with audited refusal — over budget, the LLM call never fires. Multiple quality signals run on every output, with anomaly detection and triage workflow surfaced in the operator dashboard.
Two reflection loops, same approval contract. The first watches the audit log for drift, hallucination, and low-score signals, and proposes prompt edits against the org's own failure cases. The second tracks curated AI-research feeds and auto-sandboxes proposed updates against production behaviour. In both cases only the changes a human approves ever go live.
Compose governance tasks, multi-agent primitives (consensus and adversarial review), and scheduled triggers on a visual canvas. An AI builder edits the graph for you. Every node execution writes a row into the same audit chain — the canvas is the planning view, the chain is the proof.