Compliance-by-construction for AI.

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.

Proofpane Mission Control: 12 governance agents, live audit timeline with hash-chained events, Claude CLI embedded in the same view.
Mission Control · Claude CLI under one policy gate · click to try live
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What you get out of the box

Tamper-evident audit Ed25519 + SHA-256

Every AI decision lands in a hash-chained log keyed by org_id so cross-tenant tampering is mathematically detectable. Export as a signed Evidence Pack — the tools/verify_evidence_pack.py CLI ships with the bundle so your auditor verifies offline, no backend access.

Audit timeline showing hash-chained events — every AI decision logged with cryptographic linkage between rows.

Compliance by construction 3 frameworks · 259 IDs

NIST AI RMF · ISO 42001 · EU AI Act — 59 baseline controls pre-mapped per skill, with per-org overrides. Closed-set hallucination guard cross-checks every cited control ID against a 259-entry truth set: a fabricated NIST AI RMF GV-9.99 can't pass.

Compliance dashboard: NIST AI RMF · ISO 42001 · EU AI Act · GDPR · SOC 2 framework coverage with per-control mapping to skills + per-org overrides.

Cost + Quality gates 4 orthogonal signals

Per-org monthly USD cap with audited refusal — over budget, the LLM call never fires. Four hallucination signals run on every output: closed-set membership, LLM-as-judge grounding, semantic-entropy consensus, cross-vendor disagreement.

Quality dashboard: pass rate, hallucination rate, fabricated-ref count, by-skill / by-model / by-provider breakdowns + low-score triage queue.
/quality · pass rate · halluc rate · triage
Cost dashboard: monthly USD spend vs cap, 30-day sparkline, top spenders by skill, anomaly table.
/cost · spend vs cap · top spenders

Self-evolving with HITL internal + external reflection

Two reflection loops, same HITL contract. Dreams watches the audit log for drift / hallucination / low-score signals and proposes prompt edits against the org's own failure cases. Parallel Universe watches the external world — curated AI-research RSS feeds + arXiv. When relevance crosses threshold it auto-sandboxes a Repo Coder session against the latest technique, and only the diff a human approves opens a PR.

Dreams queue: proposed Genes awaiting HITL approval — every prompt edit goes through human review before going live.
/dreams · internal reflection
Parallel Universe: external-RSS scout that pulls expert AI-research feeds and auto-promotes high-relevance items into sandbox Repo Coder sessions.
/parallel-universe · external reflection

Visual workflows skills · multi-agent · cron

Compose Skills (24 governance tasks across 8 categories), multi-agent primitives (consensus / adversarial review), and cron triggers on a visual canvas. AI Builder chat edits the graph for you. Every node execution writes a row into the same hash-chained audit log — the canvas is the planning view, the chain is the proof.

Multi-agent workflow canvas — Classify AI System → Impact Assessment 3-way consensus → Map Obligations, with live execution status and skill palette.
Works wherever your team uses AI
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Built in Aotearoa New Zealand · Louie.Lu@proofpane.com
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