Blog - Regulatory risk management

EU’s New GPAI Guidelines: A Compliance Roadmap for August 2, 2025—and Beyond

On August 2, 2025, the EU’s General-Purpose AI duties start, with multimillion-euro fines looming in 2026. This post decodes the Commission’s new guidelines, definitions, significant-modification test, open-source carve-outs. and shows how RadarFirst’s unified regulatory-risk platform turns real-time documentation into effortless, audit-ready compliance.

Grab the roadmap and beat the deadline.

How Radar Privacy Reduces Legal Costs up to 70%

When a data breach hits, every minute and dollar counts. This post contrasts manual, outside-counsel response with Radar Privacy’s automated workflow, showing how enterprises comply with global data-privacy laws, slash legal spend by 70 percent, and quantify gains instantly in our ROI calculator.

Use the findings to secure executive buy-in and tighten regulatory risk management.

Why Regulatory Compliance Can’t Wait for Incidents to Happen

Waiting for AI incidents to trigger compliance action is a recipe for fines, reputational harm, and operational chaos. This post examines why proactive governance is crucial and how Radar AI Risk™ integrates regulatory compliance into every stage of the AI lifecycle, enabling faster and safer deployments.

Introducing Radar AI Risk™: Real-Time Governance for AI Regulatory Compliance

AI governance tools must evolve as fast as innovation. With the EU AI Act taking effect in June 2025 and similar regulations surfacing worldwide, organizations need AI governance software that scales. are under growing pressure to track, assess, and govern every AI model in use.

From in-house builds to third-party integrations, legal and security teams may see dozens of new models introduced each month.

AI Compliance Just Got Smarter: Classify AI System Risk with Radar AI Risk™

Enterprise AI is moving from testbed to backbone. What once lived in pilot projects is now powering critical business functions. But with growth comes complexity: sweeping requirements under the EU AI Act, layered with sector-specific regulations like the FTC Act and the Equal Credit Opportunity Act, demand proof that AI systems are fair, transparent, and compliant.

AI Classification, Without the Chaos: How to Get Ahead of the EU AI Act

For legal and compliance teams, a standardized classification methodology ensures that every AI initiative, from a simple recommendation engine to a high-stakes biometric screening tool, follows the same objective criteria, minimizing subjectivity and enabling transparent audit trails.