Real-Time Governance for AI Regulatory Compliance
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AI innovation is accelerating—and so are the risks. With the EU AI Act enforceable in June 2025 and similar frameworks emerging worldwide, legal and security teams are facing mounting pressure to govern every model across their organization’s AI portfolio. In-house or third-party, dozens of models may launch each month.
Traditional compliance methods—such as manual reviews, static spreadsheets, and delayed steering-committee sign-offs—can’t keep up. They introduce lag and create gaps. Enter Radar AI Risk: a purpose-built, end-to-end product that embeds real-time risk management into every stage of the AI lifecycle, so you can innovate without exposure.
The pace of AI innovation has never been faster, and the risks have kept pace
Enterprise AI teams today juggle competing priorities: Accelerate model development to gain market advantage while also meeting increasingly strict regulatory scrutiny and internal audit requirements. The EU AI Act’s risk-tiered approach—from Minimal to Unacceptable impact—demands precise classification and controls for AI compliance.
Meanwhile, U.S. regulators rejected a moratorium on state-level AI regulation, and the U.K. is drafting its AI regulatory framework, opening the door for new laws to proliferate.
Security professionals must guard against emerging threats, such as data poisoning or model inversion, even as legal teams navigate contractual obligations and evolving liability doctrines. In this fast-moving environment, reactive, human-intensive processes simply cannot keep pace with the dynamic risk landscape.
That’s why we built Radar AI Risk
Radar AI Risk replaces fragmented manual processes with a unified, purpose-built solution designed for the scale and complexity of modern AI environments. By integrating conversational intake, instant risk classification, rapid assessments, one-click documentation, unified dashboards, and embedded remediation, the solution ensures legal and security stakeholders can continuously monitor and govern every model without slowing down development teams.
Conversational Intake
Radar AI Risk’s guided, chat-style web interface quickly captures essential model, application, solution, or AI-enabled system context in minutes, rather than hours. Legal and security teams no longer need to build or maintain bespoke forms for each new use case. Instead, the intake engine asks targeted questions about data provenance, model architecture, user populations, and operational environments.
This conversational approach ensures comprehensive metadata collection, which drives downstream assessments and audit reporting. By eliminating manual configuration of intake forms, organizations reduce setup time and increase consistency across hundreds of submissions.
Instant, Automated Risk Classification
After metadata is ingested, Radar AI Risk automatically assigns each application to the risk tiers corresponding to applicable laws, rules, and regulations. For instance, risk tiers defined by the EU AI Act would classify the system as Limited, Minimal, High, or Unacceptable, according to the regulatory guidelines, and map specific risks to corresponding text within the regulation.
The classification engine is built on a transparent scoring system: every factor affecting a model’s risk score is clearly displayed, along with links to relevant language from the LRR, allowing legal teams to explore the reasoning behind each classification.
If a model’s assessed risk differs from management’s judgment, authorized users can override the classification. These overrides—and their justifications—are recorded in a full audit trail, satisfying regulatory expectations for human oversight and explainability.
Rapid Assessments
Regulatory obligations and internal policies are constantly evolving, and security vulnerabilities can emerge overnight. Radar AI Risk’s assessment engine recomputes risk in real time whenever model parameters change—whether a new data set is ingested, algorithm thresholds are tweaked, or a third-party component is updated.
This immediate assessment ability means that legal and security experts never have to wait days or weeks for a new review. Instead, they have confidence that every model’s risk posture is current, enabling them to steer development toward compliance rather than having to catch up retrospectively.
One-Click Documentation
Audit requests from regulators or boards can come without warning. Manual report generation is time-consuming and error-prone, often requiring manual copying and pasting from multiple spreadsheets and document repositories.
Radar AI Risk solves this by producing fully versioned, timestamped, audit-ready reports at the click of a button.
- Unified Dashboards: Cross-functional visibility is critical for ensuring accountability and aligning priorities across Legal, Security, Risk, and Executive teams. Radar AI Risk’s configurable dashboards present interactive views of model counts by risk tier, aging remediation items, time-to-assessment metrics, and emerging risk trends. Role-based alerts notify stakeholders of models requiring urgent attention, policy violations, or overdue reviews. By consolidating all governance data into a comprehensive view, the solution eradicates fragmented spreadsheets and siloed communication channels, ensuring that everyone operates from the same, up-to-date information set.
- Integrated Remediation: Identifying a high-risk model is only the first step—organizations must also take corrective action. Radar AI Risk recommends specific remediation controls for each risk level, such as improved data validation, bias testing procedures, or operational logging requirements. Security teams and legal owners can accept recommended actions with one click or override them with a written justification. Every decision is recorded in the solution’s secure system of record, providing full traceability of remediation steps and demonstrating accountability in the event of an audit or incident investigation.
Why Radar AI Risk Is Different
Purpose-Built for AI Governance
Unlike legacy GRC tools that layer AI functionality onto a platform designed for financial compliance or operational risk, Radar AI Risk was engineered from inception to address AI’s unique challenges. Every feature—from conversational intake to automated risk classification—reflects the needs of rapid model development, complex data flows, and transparency.
Scale Across In-House & Third-Party Systems
Organizations increasingly rely on third-party AI services alongside internally developed models. Radar AI Risk applies a single governance framework to both, ensuring consistent risk assessment and control across the entire enterprise AI footprint. Whether your AI systems run on-premises, in private clouds, or via SaaS APIs, they’re governed under the same policies and audit standards.
Adapt to Global Laws & Internal Mandates
The regulatory landscape for AI is far from static. Radar AI Risk supports the EU AI Act out of the box and provides a flexible policy engine that can incorporate upcoming U.K., U.S., and Asia-Pacific regulations, as well as your own corporate ethics or security mandates.
Ethics, Transparency & Control
Grounded in principles of human oversight and proactive legal alignment, Radar AI Risk emphasizes clear rationale and accountability. By offering fully transparent scoring, explainable override trails, and documented remediation paths, the solution helps organizations meet not only regulatory requirements but also emerging standards for ethical AI and public trust.
Secure System-of-Record
When a case is opened, a user-submitted intake form populates an AI-enabled chat that feeds directly into a single, encrypted repository, eliminating fragmentation and duplication across teams. From there, our advanced risk-scoring engine automatically attaches detailed risk assessments and rationale to each record, while any manual overrides are time-stamped and appended as immutable logs.
Should an issue require follow-up, every remediation step—notifications sent, tasks assigned, and closure notes—is recorded alongside the original data, providing you with end-to-end visibility with no gaps. All of this is safeguarded by industry-leading encryption (both at rest and in transit), enforced through role-based access controls and multi-factor authentication, so you can be confident that only the right people see the right information at the right time.
Why Now?
Regulators are already auditing AI systems under the EU AI Act, and similar frameworks will likely follow globally soon. Audit committees demand instantaneous proof of control, and security teams face ever greater scrutiny over data handling and algorithmic integrity. Manual compliance processes and legacy GRC tools will soon become untenable bottlenecks—or worse, blind spots that leave your organization exposed.
Radar AI Risk transforms AI compliance from a reactive checklist into a proactive strategic enabler, allowing you to innovate rapidly, prove control on demand, and lead with confidence in this new era of AI regulation.