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.

Search Results | RadarFirst

AI at the Tipping Point. Why Boards Can No Longer Wait to Govern AI Risk.

[…] every function. Yet as AI evolves, so do the risks. And boards are now squarely in the hot seat. In a recent episode of the Privacy and Compliance Collective, RadarFirst CEO Zach Burnett sat down with two leaders shaping the global conversation on AI governance. Edna Conway of EMC Advisors and Chris Hetner of […]

AI Governance and Regulatory Readiness. What Boards Need to Know Now.

[…] the challenge is not only understanding the technology but preparing for a regulatory environment that is still taking shape. In the latest episode of the Privacy and Compliance Collective, RadarFirst CEO Zach Burnett explores this topic with cybersecurity leaders Edna Conway and Chris Hetner. Their message is clear. Regulatory pressure is coming. Investor expectations […]

AI At The Tipping Point: Balancing Fiduciary Duty, Risk, and Innovation (On Demand)

[…] and redefining boardroom responsibility. What good AI governance looks like in the boardroom today How to translate regulatory frameworks into operational oversight Why “AI-native” systems outperform bolt-on compliance How to connect privacy, compliance, and AI risk as controls How governance can ignite, not inhibit, innovation Watch Now Starting with the 2026 proxy season, major […]

Regulation S-P Is Growing Up. What Financial Services Leaders Need to Know Now

[…] is a comprehensive data and technology risk mandate. In this post, we will unpack what has changed, why it is changing now, and what CISOs, CPOs, and compliance leaders need to prioritize. Why Reg S-P now? The context has shifted. Reg S-P was adopted in 2000. At that time, the financial services ecosystem looked […]

EU Digital Omnibus: What It Means for Privacy, AI Governance, and Compliance Leaders

The EU is aligning GDPR, ePrivacy, AI Act, and cybersecurity rules to cut duplication and increase clarity. See what the Digital Omnibus means for documentation and compliance teams.

From Policy on the Shelf to Muscle Memory. Building Reg S-P Ready Governance and Incident Response

Learn how organizations can move beyond static policies to build board-level oversight, cross-functional playbooks, and practiced incident response programs that demonstrate real, evidence-based compliance.

Reg S-P Is Here. Modernize Your Privacy and Risk Governance

Regulation S-P raises expectations for data protection, breach response, and vendor oversight across financial services. With stricter timelines and requirements for continuous, evidence-based compliance, firms must modernize fast. RadarFirst helps teams automate incident documentation, streamline breach decisioning, and maintain regulator-ready audit trails.

LLMs Can Help But They Can’t Protect You

Large language models can support your team but they can’t ensure compliance or defend your decisions. Organizations still face challenges like evolving regulations, inconsistent determinations, lack of auditability, and unmanaged data risks. Radar Privacy™ and Radar AI Risk™ fill the gap by delivering consistent, defensible, fully traceable decisions built for enterprise-grade governance.

Legal Ops Tech and the ROI Mirage

[…] was evident as teams standardized outside counsel guidelines, centralized matter intake, and automated contract workflows. As the function matured, legal ops became the connective tissue between privacy, compliance, risk, and governance. Teams adopted tools ranging from privacy incident management software to vendor risk assessment tools. The mission expanded. The complexity followed. CLOs surveyed in […]

RadarFirst’s Built-In Legal Intelligence: Turning Compliance Complexity into Strategic Advantage

RadarFirst’s Built-In Legal Intelligence: Turning Compliance Complexity into Strategic Advantage Want to share this? Why Automated Interpretation Is Becoming the Backbone of Modern Regulatory Risk Management Regulatory complexity is accelerating. Privacy laws continue to evolve. Cybersecurity requirements are tightening. AI governance is creating new expectations around transparency, explainability, and accountability. Across the U.S., EU, […]

Privacy, AI, and Risk. The Next Legal Frontier

AI is accelerating the convergence of privacy, compliance, and risk management. Legal and compliance leaders now face rising demands for explainability, defensible documentation, and unified decision frameworks. As AI governance evolves, organizations must modernize their tools and processes including privacy management solutions, privacy incident management software, and risk assessment tools to operate confidently and […]

Beyond Checklists: Building Audit-Ready Governance

Beyond Checklists: Building Audit-Ready Governance Want to share this? Why Compliance Confidence Can’t Be Measured in Tasks For the last twenty years, privacy governance and compliance programs have often been managed like to-do lists. Policies drafted. Boxes checked. Attestations filed. Reports submitted. Yet when regulators, auditors, or investors come knocking, many organizations still scramble. […]

Protecting Patient Data with Modern Privacy Management Solutions

Safeguarding patient information goes beyond compliance checklists. In today’s digital healthcare landscape, privacy management software plays a critical role in maintaining HIPAA compliance and protecting patient trust. Discover how RadarFirst automates privacy incident response, risk assessments, and vendor management to help healthcare organizations meet regulatory obligations with confidence.

Déjà Vu? Why the EU AI Act Feels Like GDPR All Over Again

As the EU AI Act approaches enforcement, many organizations feel déjà vu from the GDPR era. Both laws reshape global compliance expectations through risk-based governance, transparency, and steep penalties. This article explores the parallels between GDPR and the EU AI Act, outlines key steps for AI readiness, and shows how tools like Radar Privacy™ […]

RadarFirst | Cyber AI 2025

If You Don’t Know Your Risk, You Can’t Defend It. Know your obligations with clarity: one system of record for privacy, compliance, AI, and controls. See your risks before they become exposure: regulatory, operational, or business. Prove your compliance with automation, defensibility, and audit-ready proof. Know Your Risk. Simplify Compliance. Book a demo to […]