November has been one of our most productive months yet. We've shipped features that our community has been asking for, expanded framework support beyond the EU AI Act, and made VerifyWise truly enterprise-ready with Kubernetes deployment options.
Here's everything new in VerifyWise this month.
Model versioning and change history
Every change to your AI models is now tracked with a comprehensive audit trail. You can see exactly what changed, when it changed, and who made the change across your entire AI portfolio.
The change history system covers:
- Model Inventory - Track modifications to model descriptions, configurations, and metadata
- Project risks - Monitor how risk assessments evolve over time
- Use cases - Document changes to how models are being applied
- Incident management - Maintain a complete record of incident updates
- Policies - Track policy revisions and approvals
- Vendor management - Audit vendor relationships and associated risks
This feature is essential for regulatory compliance, where demonstrating governance over time is just as important as current compliance status.
NIST AI RMF framework support
VerifyWise now fully supports the NIST AI Risk Management Framework, expanding our framework coverage beyond the EU AI Act. This is a significant step for organizations operating in the United States or those looking to adopt a flexible, internationally recognized approach to AI risk management.
The NIST AI RMF is structured around four core functions: Govern, Map, Measure, and Manage. Each function addresses a different aspect of AI risk management, from establishing governance structures and identifying AI system contexts to measuring risks and implementing mitigation strategies. VerifyWise implements the complete framework structure with all subcategories, giving you a comprehensive view of your AI risk posture.
The dashboard has been redesigned to split statistics by function, making it easier to understand where your organization stands across each area of the framework. You can see at a glance how well you're covering governance requirements versus measurement activities, and identify gaps before they become problems.
Risk linking is now available for NIST AI RMF, allowing you to associate identified risks with specific subcategories. When you document a risk in VerifyWise, you can tag it to the relevant NIST AI RMF category, creating a clear mapping between your risk register and the framework's structure. This makes it straightforward to demonstrate compliance and track coverage.
Navigation is now faster with clickable dashboard cards that take you directly to relevant sections. Tab selections are persisted using localStorage, so when you return to the NIST AI RMF dashboard, you pick up exactly where you left off.
For organizations already using VerifyWise for EU AI Act compliance, the NIST AI RMF implementation works alongside your existing setup. You can manage compliance with both frameworks from a single platform, with shared risk data and unified reporting.
CE Marking for EU AI Act compliance
High-risk AI systems under the EU AI Act require CE Marking before they can be placed on the European market. This conformity marking demonstrates that an AI system meets the essential requirements laid out in the regulation, covering everything from risk management and data governance to transparency and human oversight.
VerifyWise now includes a dedicated CE Marking registry that centralizes all your conformity assessment activities. You can track requirements, document evidence, and monitor status across all your high-risk AI systems from a single view.
When incidents occur, you can link them directly to CE Marking records. This connection makes impact assessment straightforward and helps you understand whether an incident affects your conformity status. For organizations managing multiple products or business units, the database architecture supports multi-tenant configurations out of the box.
The tracking system is organized around compliance goals rather than descriptions. Instead of managing a flat list of requirements, you can group related activities by their objectives, making it easier to see progress toward specific compliance milestones.
For manufacturers placing AI systems on the EU market and deployers operating high-risk systems, this feature provides the documentation and audit trail that regulators expect.
Wise Search: global command palette
Finding information across a growing AI portfolio shouldn't require clicking through multiple menus. Wise Search brings everything to your fingertips with a global command palette that searches across your entire VerifyWise instance.
Press Cmd+K (Mac) or Ctrl+K (Windows/Linux) anywhere in the application to open the search interface. From there, you can query across models, risks, policies, vendors, incidents, and more. Results appear instantly as you type, and you can jump directly to any record with a single click.
The search is security-hardened, meaning results respect your role-based permissions. You'll only see records you have access to, and sensitive data stays protected. The interface follows the command palette pattern familiar to developers and power users, making it fast to learn and efficient to use.
User onboarding experience
New users now get a guided introduction to VerifyWise through an interactive onboarding flow. A multi-step modal walks users through the platform's key features, helping them understand the essentials before diving in.
During setup, users can invite team members directly, making it easy to get the whole team onboarded at once. The onboarding state syncs across browser tabs, so progress is never lost if users switch between windows.
The experience is designed to be non-intrusive. It appears only on the dashboard and never interrupts active work. Progress indicators provide clear visual feedback on setup completion, so users always know where they stand.
This makes it easier for new team members to get productive quickly without requiring extensive training.
Kubernetes deployment support
VerifyWise is now enterprise-ready with full Kubernetes support for production deployments. We've added production-ready K8s deployment manifests that work out of the box with standard Kubernetes clusters.
For simplified deployment and configuration management, Helm charts are now available. This makes it straightforward to customize your deployment, manage upgrades, and maintain consistent configurations across environments.
The architecture is designed for horizontal scaling, supporting high-availability setups for organizations that need them. For teams with existing Kubernetes infrastructure, VerifyWise now fits seamlessly into your deployment pipeline.
Table export and print functionality
Every data table in VerifyWise can now be exported or printed for offline analysis and reporting.
- CSV export - Download table data for use in spreadsheets and external tools
- Print-friendly views - Optimized layouts for physical documentation
- Comprehensive coverage - Available across all major data views
GroupBy and filter functionality
Organizing large datasets is now significantly easier with new grouping and filtering capabilities across all data tables.
- Cascade filtering - Apply multiple filters that work together intelligently
- GroupBy with counts - Group records by any field with circular count badges showing totals
- Tab persistence - Filter and group selections are remembered via localStorage
- Universal coverage - Available in Vendors, Policies, Incidents, Model Inventory, and more
Ready to explore the November updates? Try VerifyWise free or book a demo to see how these features can support your AI governance program.
For questions or feedback, reach out to us at hello@verifywise.ai or connect with our community on GitHub and Discord.
VerifyWise is the open-source AI governance platform helping organizations build trust in their AI systems through comprehensive governance, risk management, and compliance tools.