DataRobot expands AI governance to non-cloud environments

DataRobot is expanding its AI governance capabilities to environments beyond the public cloud, including on-premises, edge, and air-gapped or sovereign infrastructures. The company aims to address fragmentation in AI governance, where platform and cloud providers often only regulate within their own ecosystems. DataRobot’s approach includes three layers: AI and agent governance—utilizing central registries and real-time moderation to detect bias, hallucinations, and data leaks in alignment with the NIST AI Risk Management Framework and the EU AI Act—and IT governance, which assigns unique identities and permissions to individual agents.

In the Benelux region, AI adoption in the public sector is gaining momentum but remains fragmented. Kurt Rommens, head of government and public sector Benelux at Google Cloud, notes that while discussions often focus on sovereign infrastructure, the primary goal should be value creation. While large-scale rollouts are currently limited in the Netherlands and Belgium, significant potential exists; for instance, AI adoption could create approximately four billion euros in annual value for the Belgian public sector. Adoption is particularly high in healthcare, where AI is being used for staff scheduling and medical research support.