Why did we build this product?

The rise of AI regulations globally (EU AI Act, U.S. Executive Order, state-level laws) is creating urgent demand for organizations to identify and manage their AI-related risks. Our customers need a way to evaluate their AI systems and ensure compliance across jurisdictions, frameworks, and internal policies, while also ensuring a defensible audit trail. AI Risk is our response to that need.

What problem is AI Risk solving?

AI Risk provides a structured and defensible assessment process to identify and document risks tied to the use of AI systems. It supports organizations in evaluating regulatory exposure, applying consistent risk frameworks, and establishing AI governance across legal, privacy, security, and compliance teams.

Who will use this product?

AI Risk is intended for cross-functional teams that include Compliance, Legal, AI Governance, and Risk Management. AI Steering committees and their component members. AI steering committees and executives responsible for AI governance risk and compliance will find this especially valuable.

What makes this different from other AI governance tools?

Unlike general-purpose risk registers or generic GRC tools, AI Risk: Codifies regulatory guidance (e.g., EU AI Act, NIST RMF) into configurable assessments. Supports multi-framework alignment and documentation. Provides built-in auditability and traceability.

What are the top use cases?

Regulatory Alignment: Mapping AI systems to the EU AI Act or NIST AI RMF. Pre-Deployment Review: Assessing risk before releasing a model or tool. Cross-Functional Collaboration: Legal, compliance, and AI teams jointly evaluating risk. Audit Trail: Documenting decisions and rationale for audits and regulators.

Will this tie into incident workflows?

Yes. Incidents involving AI system misuse or harm can trigger assessments. Likewise, risk findings can link back into Compliance or Privacy obligations when thresholds are met.

Can I see reporting by risk level or framework coverage?

Yes. Assessments will support: Risk distribution by system | Framework coverage dashboards | Gaps or missing documentation

Can AI Risk handle multiple systems or models at once?

Yes. Assessments are per system/model but the interface will support a portfolio-level view.

Is this built to scale with new regulations?

Yes. New frameworks, jurisdictions, or internal review processes can be added via configuration. We plan to provide prebuilt updates for major regulatory shifts post-GA.

How does AI Risk integrate with existing AI governance software?

Radar AI Risk connects seamlessly with other AI governance tools, enabling centralized oversight without the need to replace existing systems.

Can AI Risk support high level reporting for executives and boards?

Yes. The platform offers high level dashboards and scorecards designed for leadership to quickly assess organizational AI risk posture.

How does AI Risk help with training data compliance?

AI Risk tracks and documents training data quality, provenance, and use, ensuring compliance with privacy and ethical guidelines.

Is Radar AI Risk suitable for organizations just beginning to adopt AI?

Absolutely. Whether you are starting small or scaling enterprise-wide, Radar AI Risk provides the structure to manage compliance from the beginning of development and deployment.

The Cost of Inaction

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The Cost of Inaction

Since this time last year, your organization may have processed 100 incidents per month, spending an average of 15 minutes per incident on intake and 3 hours on assessment.

With Radar Privacy, that could translate into a savings of $7,788 per week* (that’s $400,000 per year!) Are you ready to recapture that lost value?

Schedule a time to connect with one of our experts to get a free ROI consultation and find out how much automating privacy incident response could save your organization.

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*Estimate reported from average customer value. Annual savings from privacy incident management automation will vary depending on your organization’s incident volume.