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Healthcare AI Governance Beyond Accuracy: Aligning Clinical, Regulatory and Business Objectives
In healthcare, what matters most is often difficult to measure. Patient well-being, ...
CRA and Open Source Governance: How to Do It Right
Examining how the Cyber Resilience Act shapes open-source governance, security practices, ...
What Business Leaders Are Getting Wrong About Digital Trust in 2026
What conversations with executives across the Benelux reveal about AI governance, ...
The Convergence of AI and Cybersecurity: Why the Boundaries No Longer Exist
Two Disciplines, One Problem Space For years, artificial intelligence and cybersecurity ...
Two Assessments, One Framework: Integrating DPIA and FRIA Under the EU AI Act
For nearly a decade, the Data Protection Impact Assessment (DPIA) has been the default ...
The AI Trust Mark: Building Confidence in the Age of AI Governance
Trust Has Always Been a Competitive Advantage. AI Is No Exception.
AI Washing in 2026: From Illusion of Autonomy to Proof of Performance
From the illusion of autonomy to the demand for verifiable performance, AI systems are ...
Continuous Monitoring May Become the Defining Capability in AI Governance
Most AI governance programs today are still built around development and procurement. ...
From RED to CRA: What Manufacturers Need to Do Next
As the EU Cyber Resilience Act (CRA) moves toward full applicability, many of our clients ...