Recent Resource
Extend AI Governance Beyond Regulations with Policy-Driven AI System Classification
Unify AI systems using both industry-standard frameworks and your organization’s own policies within a unified governance model.
Align to business objectives while ensuring every AI use case is evaluated against the standards that matter most to your business.
Features
AI Governance That Scales with Regulations
Organizations need more than compliance. They need a consistent way to classify AI systems using both recognized frameworks and their own internal policies.
By combining standards such as the NIST AI Risk Management Framework with organization-specific requirements, RadarFirst enables scalable, auditable AI classification aligned with evolving governance expectations.
Core Capabilities
Unified AI Governance, Policy, and Incident Management
- Framework-Driven AI Classification: Upload and apply industry frameworks, such as the NIST AI Risk Management Framework and the OECD AI Principles, to classify AI systems against recognized standards.
- Custom Policy-Based Classification: Incorporate your organization’s own AI policies, risk criteria, and governance standards directly into classification workflows.
- Unified Classification Engine: Evaluate each AI use case against both external frameworks and internal policies in a single, consistent process.
- Policy and Framework Traceability: Maintain clear, auditable links that show how each AI system was classified according to specific framework criteria and internal policy requirements.
- Flexible Exception and Risk Acceptance: Document and manage exceptions with AI systems that do not fully meet framework or policy requirements, with structured approvals and oversight.
Benefits
Turn AI Governance into Action
Align External Standards with Internal Expectations
Bridge the gap between frameworks like NIST AI RMF and your organization’s unique risk posture and policies.
Ensure Consistent AI Classification
Standardize how AI systems are evaluated across teams, use cases, and business units.
Increase Auditability and Transparency
Provide clear evidence of how AI systems were classified against both industry frameworks and internal policies.
Strengthen AI Governance Maturity
Demonstrate structured, repeatable classification aligned with global standards and tailored internal controls.
Adapt to Evolving AI Regulations
Easily incorporate new frameworks or update internal policies without disrupting classification workflows.
Compliance You Can Trust
Navigate Privacy Laws and AI Regulations with Confidence
Regulatory Solutions
Guided Solutions That Turn Regulations Into Action
Featured Resources
Insights on Privacy, AI Risk, and Compliance
Blog
From Principles to Pressure: Why AI Governance Must Evolve into AI Incident Management
Blog
AI and Data Risk Is No Longer Theoretical
Webinar
AI Risk in Practice. Scenarios, Accountability, and What Boards Expect
Webinar
2026 Privacy Benchmarking Report: Key Findings
Blog
Finance Edition: 2026 Privacy Benchmarking Report
Let’s Get Started
Trusted by leading organizations, RadarFirst enables teams to manage incidents with speed, consistency, and defensibility by standardizing how incidents are captured, assessed, and actioned.
