Compliance AIops (preview)

Disclaimer: Community-maintained open-source project. Not affiliated with, endorsed by, or sponsored by any framework body or GRC vendor. HIPAA, PCI-DSS, SOC 2, GDPR and OSCAL are referenced descriptively; the frameworks and trademarks belong to their owners. MIT licensed.

Governed compliance-evidence tooling for AI-agent infrastructure ops. It reads the audit trails your governed AIops agents already write — the local ~/.<tool>-aiops/audit.db SQLite trails, all sharing one audit_log schema — and turns that activity into framework-mapped, hash-chain-sealed compliance evidence. It never scans your infrastructure and never replaces a GRC platform: it converts the trails you already produce into auditor-ready, tamper-evident evidence bundles.

Unlike the other tools in the AIops-tools line it is not a platform wrapper: no external API, no network, no platform credentials. Its only inputs are those on-disk audit databases, read read-only. That also makes it the easiest-to-self-test tool in the line — fully offline and deterministic.

Preview. Evidence, not certification. Fully offline; the source audit.db files remain the system of record. OSCAL export is a documented v0.2 roadmap item (v0.1 emits JSON + Markdown + CSV shaped to ease a future OSCAL Assessment-Results adapter).

Key features

• Framework mapping with honest evidence-strength — audit events map to HIPAA §164.312 / PCI-DSS v4.0 / SOC 2 TSC / GDPR controls. Audit trails prove operating effectiveness strongly but control design / configuration only partially, and each control is labelled strong or partial. gap_analysis says so per control, with the caveat and a remediation hint.
• Hash-chain-sealed evidence bundles — SHA-256 over ordered records (hash = SHA-256(prev_hash ‖ canonical_json(record)), genesis prev = 64 zeros). The chainHead is reproducible for the same (framework, period, sources). verify_bundle catches tampering; verify_source_chain detects row-id gaps / deletions in a source trail. An optional HMAC signature seals a bundle under a stored signing key.
• Zero-network, read-only — no credentials, no outbound calls, no mutation of the source trails. Bundles are the only thing written, under ~/.compliance-aiops/bundles/.
• Deterministic, test-verified integrity — the integrity claims are themselves covered by tests: synthetic audit DBs are built through the real governance-harness AuditEngine, a golden reproducible chainHead is asserted, and tamper tests confirm detection. No live infrastructure needed.

Tools (15 MCP tools)

Read / analysis (12)

Write / artifact (3 — no external mutation)

The CLI exposes a convenience subset; the full 15-tool surface is available over MCP.

Frameworks & controls

Install

uv tool install compliance-aiops      # or: pipx install compliance-aiops

Quick start

compliance-aiops init                 # discover sibling ~/.*-aiops/audit.db, set org name, optional signing key
compliance-aiops doctor               # which sibling audit DBs are present/readable
compliance-aiops overview             # audit sources + per-framework covered/total
compliance-aiops report coverage soc2 # per-control SOC 2 coverage
compliance-aiops bundle generate soc2 # sealed evidence bundle → ~/.compliance-aiops/bundles/
compliance-aiops bundle verify <path> # re-verify the chain + seal (+ signature)

Run as an MCP server (stdio):

export COMPLIANCE_AIOPS_MASTER_PASSWORD=...   # only needed to unlock a signing key
compliance-aiops mcp                          # or: compliance-aiops-mcp

Integrity & honest limits

• Tamper-EVIDENT, not tamper-PROOF. The hash chain and optional signature let an auditor detect alteration; they do not prevent it. The source audit.db files remain the system of record — record the chainHead out-of-band if you need an independent anchor.
• Operating effectiveness vs. design. An audit trail strongly evidences that a control ran (samples, approvals, denials) but only partially evidences that a control is designed / configured correctly (e.g. MFA required, least-privilege roles). Every control carries a strong / partial label and gap_analysis surfaces the caveat rather than overclaiming.

Supported scope & limitations (preview)

• Evidence, not certification. This produces auditor-ready evidence bundles; it does not issue attestations, opinions, or certifications.
• In scope: the four frameworks above, over the audit_log trails written by governed AIops tools discovered via ~/.*-aiops/audit.db.
• Not in scope: it does not scan infrastructure, connect to any platform, or replace a GRC platform. For platform operations use the other AIops-tools.
• OSCAL export is v0.2. v0.1 emits JSON + Markdown + CSV.
• Preview: interfaces may change before v1.0.

Missing a capability?

Want another framework, control mapping, export format (OSCAL, CSV shape), or a verification you don't see here? Open an issue or a PR — contributions welcome.