Radar AI Risk is an automated AI governance and risk management platform that functions as a centralized system of record for an organization's in-house and vendor-sourced AI models. It is designed to classify AI system risks and manage regulatory compliance throughout the AI lifecycle. The system uses a generative AI model, trained on regulation-specific data, to automate risk assessments, map obligations from legal frameworks like the EU AI Act and GDPR, and generate audit-ready documentation for legal, risk, and AI teams.
The platform features a unified governance dashboard with real-time scorecards and configurable, role-based workflows to manage AI inventories and pre-deployment assessments. It maps controls to legal requirements, tracks training data provenance, and produces a version-controlled, auditable record of use cases and risk mitigations. The system operates within isolated cloud environments where processing data is not used to train underlying third-party models and includes safeguards like audit logging. Critical outputs require human validation, and users can manually override AI-assessed risk classifications and obligation recommendations.
