Compliance Management Systems
A curated list of Compliance Management Systems
Verify Wise
Ensure AI compliance and governance without compromising on security. Get the source code, or join the conversation!

Take Control of AI Governance with VerifyWise: Open‑Source AI Compliance Made Accessible
In an era where AI regulations are evolving rapidly, VerifyWise delivers an open‑source AI governance platform that empowers organizations to govern AI transparently, securely, and efficiently.
Key Features of VerifyWise
- Open-Source Flexibility: Fully inspectable and customizable (AGPL‑v3 licensed), deployable on‑premises or in a private cloud
- EU AI Act & ISO 42001 Workflows: Pre-built controls, evidence gathering steps, and one-click audit exports aligned with emerging standards
- Risk & Vendor Registers: Track AI system risks, associate them with controls, and manage third-party models and vendors
- Bias & Fairness Scans: Automatically assess datasets or model outputs for demographic bias with visual dashboards and remediation playbooks
- AI Literacy & Compliance Training: Maintain records of mandatory AI-related training programs to support regulatory audits
- Centralized Audit Trails & Model Inventory: Complete transparency into AI-related decisions, activities, and lifecycle documentation
- Fast Deployment & Audit Efficiency: From install to first baseline scan under 30 minutes; early users report up to 80% reduction in audit prep time
✅ Pros
- Truly Open Source: Avoid vendor lock‑in; full access to the codebase makes it ideal for privacy-conscious or regulated organizations.
- Built for AI Regulation: Purpose‑made for compliance with EU AI Act, ISO 42001, and other frameworks through AI‑specific governance workflows.
- Rapid Audit Reduction: Users report dramatic reductions in preparation time, supporting faster compliance cycles and sales readiness.
- Community-Driven Innovation: Over 850 external contributions signal a vibrant ecosystem evolving rapidly.
- Self-Hosting Capability with RBAC: Ideal for teams needing control and security—supports Docker deployment, role-based access, and data encryption
⚠️ Cons
- Emerging Project: As a new platform founded in 2024, it lacks extensive enterprise case histories or major brand adoption.
- Technical Setup Required: Open-source nature means self-hosting, docker setup, and infrastructure decisions fall on your team.
- Feature Set Still Growing: Support beyond AI governance (e.g. traditional GRC, vendor integrations) is evolving with future roadmap targets.
- Limited Non-AI Coverage: Focuses on AI-specific frameworks—less suitable for businesses also managing broader security or privacy controls.
- Smaller Support Ecosystem: While community is active, dedicated support or SLA-backed services may be limited compared to commercial tools.
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