The Kubernetes of AI Governance — Open-source ISO 42001 / Agentic AI Governance Chassis.
GRC_Claw is the first open-source governance platform purpose-built for the agent economy. Agents are first-class citizens with cryptographic identity, not afterthoughts bolted onto human-centric GRC.
اقرأ هذا الملف بالعربية: README.ar.md
flowchart TB
subgraph actors [Actors]
Auditor[Auditor / CISO]
Analyst[SOC Analyst]
end
subgraph grc_claw [GRC_Claw OSS]
GW[GRC_Claw Gateway]
AR[Agent Runtime]
EV[Evidence Plane]
end
subgraph a2z [Private A2Z SOC]
SIEM[SIEM / security_events]
UI[SOC + GRC UI]
end
Auditor --> GW
Analyst --> a2z
GW --> AR
GW --> EV
GW <-->|a2z-connector| a2z
a2z --> SIEM
flowchart LR
A[AI Agents] --> B[Agent Policy Firewall]
B --> C[Policy Engine]
C --> D{Decision}
D -->|ALLOW| E[Execute Action]
D -->|DENY| F[Block + Log]
D -->|REQUIRE_APPROVAL| G[Human Approval]
E --> H[Evidence Graph]
F --> H
G --> H
H --> I[Compliance Mapper]
I --> J[Audit Trail]
J --> K[Assurance Envelope]
K --> L[A2Z SOC Cloud]
flowchart LR
A[GRC_Claw local engine] --> B[Evidence graph objects]
B --> C[Assurance envelopes]
C --> D[A2Z SOC assurance exchange]
D --> E[Auditors]
D --> F[Insurers]
D --> G[Procurement teams]
D --> H[MSPs / vCISOs]
D --> I[AI harness vendors]
J[Agentic tool calls] --> K[Agent policy firewall]
K --> B
L[Revenue events] --> D
M[Benchmarks + regulatory diffs] --> D
flowchart LR
A[Open-source GRC_Claw engine] --> B[Local evidence graph]
B --> C[Signed control passport]
C --> D[A2Z SOC cloud control plane]
D --> E[Auditor / verifier network]
D --> F[Benchmark + regulatory intelligence]
D --> G[Procurement + insurance distribution]
H[Agentic AI harnesses] --> I[Agent Assurance Firewall]
I --> B
I --> E
# Install CLI globally
npm install -g @grc-claw/cli
# Scan current directory for compliance issues
grc scan .
# Run the autonomous compliance agent
grc agent run
# Bootstrap a sovereign (air-gap) deployment with Ollama
grc sovereign initnpm install
npm run demo:agent-policy-denial
npm run verify:agent-policy-denialExpected: fixtureCases: 2, expectedAllowed: 1, expectedDenied: 1, ledgerIntegrity: verified.
| Package | Description | Version |
|---|---|---|
@grc-claw/sdk |
TypeScript SDK for A2Z SOC platform | v0.8.0 |
@grc-claw/cli |
GRC CLI — 18 commands | v0.8.0 |
@grc-claw/mcp-server |
MCP server for Claude / AI assistant integration | v0.8.0 |
@grc-claw/compliance-copilot |
VS Code extension — 11 rules, 6 languages | v0.8.0 |
@grc-claw/agent-runtime |
3-phase autonomous agent (plan → act → verify) | v0.8.0 |
@grc-claw/connectors |
BYOC LLM (OpenAI / Anthropic / Ollama) + SOVEREIGN_MODE | v0.8.0 |
@grc-claw/security-graph |
BFS blast-radius analysis | v0.8.0 |
@grc-claw/zk-compliance |
RFC 3161 TSA proof chain (FreeTSA.org, ASN.1/DER) | v0.8.0 |
@grc-claw/oscal |
OSCAL 1.1.2 SSP, POA&M, Component Definition export | v0.8.0 |
@grc-claw/soar |
SOAR playbook engine — 5 built-in playbooks | v0.8.0 |
@grc-claw/framework-crosswalk |
27,596-mapping multi-framework crosswalk corpus | v0.8.0 |
@grc-claw/evidence |
SHA-256 evidence lineage + PostgreSQL persistence | v0.8.0 |
@grc-claw/agent-identity |
DID:GRC verifiable credentials (W3C VC JSON-LD) | v0.8.0 |
@grc-claw/risk-quantification |
Monte Carlo simulation + FAIR risk calculator | v0.8.0 |
@grc-claw/frameworks |
13 compliance framework packs, 824 controls | v0.8.0 |
@grc-claw/ingest |
OSS SIEM / IDS / firewall + cloud normalizers | v0.8.0 |
@grc-claw/persistence |
PostgreSQL persistence layer | v0.8.0 |
@grc-claw/rbac-multi-tenant |
JWT auth, 5 roles, tenant isolation | v0.8.0 |
@grc-claw/compliance-autopilot |
Continuous monitoring + gap detection + remediation | v0.8.0 |
@grc-claw/drift-detector |
Compliance drift detection + severity scoring | v0.8.0 |
@grc-claw/policy-management-hub |
Policy lifecycle — create → approve → publish → attest | v0.8.0 |
@grc-claw/vendor-risk-management |
Vendor risk scoring + questionnaires + monitoring | v0.8.0 |
@grc-claw/observability |
OpenTelemetry tracing + Prometheus metrics | v0.8.0 |
@grc-claw/a2z-connector |
A2Z SOC platform API bridge | v0.8.0 |
@grc-claw/core |
Canonical events, GRCEngineFacade | v0.8.0 |
@grc-claw/gateway |
HTTP/WebSocket gateway daemon | v0.8.0 |
@grc-claw/continuous-trust-engine |
Dynamic trust scoring across evidence, controls, agents, risk, and behavior | v1.0.0 |
@grc-claw/agent-collaboration |
Multi-agent collaboration sessions, capability matching, and consensus workflows | v1.0.0 |
@grc-claw/regulatory-change-management |
Regulatory source tracking, impact analysis, timelines, and remediation gaps | v1.0.0 |
@grc-claw/ai-governance |
AI system inventory, EU AI Act risk classification, assessments, and monitoring | v1.0.0 |
@grc-claw/compliance-knowledge-graph |
Living graph of frameworks, controls, evidence, threats, technologies, and posture | v1.0.0 |
@grc-claw/predictive-compliance |
Failure forecasting, risk scoring, trend analysis, and remediation recommendations | v1.0.0 |
@grc-claw/compliance-marketplace |
Proof-backed compliance pack publishing, discovery, installation, and ratings | v1.0.0 |
@grc-claw/zero-trust-audit |
Cryptographic audit trail with hash chains, Merkle proofs, and evidence export | v1.0.0 |
@grc-claw/evidence-graph |
Deterministic graph-object envelope, hashing, and snapshot builder for gateway/MCP proof paths | v1.0.0 |
@grc-claw/federated-learning |
Federated learning network for cross-org compliance pattern sharing with differential privacy | v1.0.0 |
@grc-claw/compliance-intelligence-api |
Real-time compliance intelligence from the network — trends, benchmarks, recommendations | v1.0.0 |
@grc-claw/autonomous-compliance-agent |
Self-healing compliance — detect, diagnose, remediate, verify automatically | v1.0.0 |
@grc-claw/compliance-digital-twin |
Virtual compliance twin — simulate, forecast, what-if analysis | v1.0.0 |
@grc-claw/quantum-resistant-crypto |
NIST FIPS 203/204 post-quantum cryptography (Kyber + Dilithium + hybrid mode) | v1.0.0 |
@grc-claw/natural-language-compliance |
Ask compliance questions in plain English — 7 intents, 8 frameworks, 8 languages | v1.0.0 |
@grc-claw/compliance-automation-marketplace |
Share, discover, and monetize compliance automations — ratings, reviews, versioning | v1.0.0 |
@grc-claw/real-time-compliance-monitor |
Live compliance dashboards, alerts, SLA monitoring, trend analysis | v1.0.0 |
@grc-claw/infra-agent-assurance |
Compliance and attestation assurance envelopes for autonomous DevOps/IaC agents | v0.1.0 |
The remaining 44 packages are private or pre-release. See the monorepo root package.json for the full workspace list.
The 375+ framework control mappings stored in the live A2Z SOC database are GRC_Claw's most defensible asset. They express, for every control in every supported framework, exactly which controls in peer frameworks are equivalent or overlapping — so a single evidence artifact can satisfy requirements across multiple audits simultaneously.
- 20+ frameworks covered: ISO 27001, SOC 2, NIST CSF, NIST 800-53, HIPAA, PCI DSS, GDPR, FedRAMP, CMMC, CIS Controls, DORA, NIS2, EU AI Act, COBIT 2019, HITRUST CSF, CSA CCM v4, IEC 62443, NERC CIP, NIST Privacy Framework, ISO 22301, and more
- 2,500+ unique controls indexed
- Exposed via the Crosswalk API at a2zsoc.com/crosswalk-api
- Consumed by
@grc-claw/framework-crosswalkand the CLIgrc diffcommand
This repository contains 180+ documents (~13 MB) generated by 100 parallel AI agents across 2 waves:
| Category | Documents | Size |
|---|---|---|
| Specifications | 90+ | ~7.5 MB |
| Implementation Guides | 20+ | ~2.5 MB |
| Deployment Files | 243 | ~1.5 MB |
| Gap Blueprints | 4 | ~500 KB |
| Strategy | 7 | ~400 KB |
| SDKs | 57 | ~300 KB |
- 11 governance frameworks (ISO 42001, NIST AI RMF, EU AI Act, SOC 2, GDPR, HIPAA, PCI DSS, COBIT, NIST CSF, OWASP, CMMI)
- 68 controls with cross-framework mapping
- 50+ Python modules (3.10+, type hints, async/await)
- 40+ REST endpoints (FastAPI, GraphQL, gRPC)
- 40+ frontend components (React 18, TypeScript, shadcn/ui)
- 70+ Kubernetes manifests (Deployments, Services, HPAs, PDBs, NetworkPolicies)
- 12 Dockerfiles (multi-stage, distroless, non-root)
- 150+ test cases (unit, integration, adversarial, performance, security)
- 20 gap blueprints with implementation roadmaps
GRC_Claw uses a custom quote model — no fixed pricing. Each organization receives a tailored quote based on:
| Dimension | Factors |
|---|---|
| Scale | Number of agents, models, policies, evidence volume |
| Complexity | Frameworks required, custom integrations, multi-tenancy |
| Deployment | Self-hosted, managed, hybrid, multi-cloud |
| Support | Community, business, enterprise, dedicated team |
| Services | Implementation, training, certification, custom development |
How to request a quote:
- Review the specifications in
specs/ - Run the self-assessment in
strategy/GRC_Claw_Maturity_Assessment_Expansion.md - Contact aah@a2zsoc.com with your requirements
- Receive a custom quote within 48 hours
GRC_Claw's benchmark intelligence compares your compliance posture against anonymized industry peers across every major framework, by industry cohort and org size. Percentile ranking per framework with opt-in anonymized contribution.
Key signals tracked:
- Evidence freshness — how current your compliance evidence is across all frameworks
- Policy denial rate — frequency of agent policy denials as a security posture indicator
- Verifier acceptance — auditor and verifier network acceptance rates
Outcomes measured:
- Audit cycle time — reduction in days from audit start to completion
- Remediation latency — time from finding to verified remediation
The Trust Transaction Network is GRC_Claw's graph-first category-control moat — a signed, portable trust object format that auditors, insurers, procurement teams, MSPs, and AI platforms can consume without trusting the vendor. The Phase 38 graph-first category control roadmap defines how this network becomes the defensible category.
Every agent action, evidence artifact, and compliance decision becomes a signed trust transaction — a hash-chained, tamper-evident receipt that can be independently verified by any party in the network.
The network effect: every new tenant, verifier, and framework mapping increases the value of the trust graph. Competitors can copy dashboards; they cannot quickly reproduce a normalized, versioned, auditor-usable graph of controls, evidence, mappings, owners, systems, and attestations.
Complete version history from v10.0 to v24.0, including all documentation suites, moat roadmaps, and competitive analysis: docs/versioning/README.md
GRC_Claw is the inspectable open-source engine. A2Z SOC is the hosted trust, evidence, and partner control plane for teams that need buyer-ready packets, recurring workspaces, white-label delivery, and senior advisory around CMMC, NIST 800-171, ISO 42001, NIST AI RMF, GRC automation, and agentic AI security.
| Offer | A2Z SOC route | Commercial shape |
|---|---|---|
| AI Assurance Passport | /ai-assurance-passport |
$2,500 setup + $3,500/mo managed evidence desk |
| CMMC Procurement Readiness Desk | /cmmc-procurement-readiness |
$999 triage → $3,500/mo readiness desk |
| Broker Trust Desk | /broker-trust-desk |
$999/mo partner fee + $199–$499/mo client workspaces |
Set SOVEREIGN_MODE=true to route all LLM traffic through a local Ollama instance. No data leaves your network.
export SOVEREIGN_MODE=true
grc sovereign init
docker compose -f docker-compose.sovereign.yml upGRC_Claw is MIT-licensed. PRs welcome — framework packs, language rules for the VS Code extension, additional Terraform resources, and connector implementations are the highest-value contributions.
git clone https://github.com/AAH20/GRC_Claw.git
cd GRC_Claw
npm install && npm run build
npm run test:comprehensiveTest results: 753+ tests passing, 0 failures.
See CONTRIBUTING.md for contribution guidelines, code style, and PR process.
- COMMUNITY.md — code of conduct, support channels, and community norms
- CONTRIBUTING.md — how to contribute, run tests, and submit PRs
- GitHub Discussions — questions, ideas, and show-and-tell
- GitHub Issues — bug reports and feature requests