Enterprise AI governance has a fragmentation problem. Platform vendors govern within their platform. Cloud providers govern within their cloud. Application vendors govern within their application. The moment an agent steps outside those boundaries, visibility ends and so does governance. Today, DataRobot is advancing the industry standard for strong AI governance that holds beyond the public cloud: on-premises, at the edge, and in air-gapped and sovereign environments where cloud-native governance isn't available.
DataRobot unifies AI governance across on-premises, edge, air-gapped, and sovereign environments.
Consistent policy enforcement, end-to-end lineage, and compliance documentation across all environments.
Three governance layers: AI/agentic, IT, and infrastructure governance.
Real-time moderation catches bias, hallucinations, prompt injection, toxicity, and PII leakage.
Aligned with NIST AI RMF and EU AI Act.
Agent Workforce Platform co-engineered with NVIDIA.
In regulated industries, the stakes aren't abstract. When an AI agent makes a lending decision across multiple clouds and internal systems, a governance tool that only sees one environment can't detect patterns that correlate with protected characteristics, can't intervene before compliance damage occurs, and can't generate the documentation regulators require. Siloed governance is an audit liability that compounds as agent deployments scale. Leading analyst coverage has specifically recognized DataRobot for reliable deployment, continuous monitoring, and strict governance in production.
DataRobot addresses this with governance at three layers. AI and agentic governance uses a central registry with role-based access, approval workflows, and versioning to ensure only compliant agents reach production, with real-time moderation catching bias, hallucinations, prompt injection, toxicity, and PII leakage. IT governance gives each agent its own identity and permissions, not inherited human credentials, with granular entitlements controlling data and API access. Infrastructure governance uses gateways, fair-use policies, and model hosting to keep agentic AI costs optimized across any environment.
Venky Veeraraghavan, Chief Product Officer at DataRobot, stated: "Governance can't be an afterthought bolted onto a platform that was never designed for it. Enterprises need one consistent mechanism for defining, enforcing, and proving policy compliance across every agent, every environment, and every workflow. That's what DataRobot delivers."
The DataRobot Agent Workforce Platform is co-engineered with NVIDIA and validated across infrastructure from Dell and Nebius, giving enterprises the flexibility to govern AI wherever they run it. The platform provides consistent policy enforcement, end-to-end lineage, and compliance documentation that apply wherever agents run, whatever systems they touch, and whoever built them.
About DataRobot
DataRobot empowers AI teams to deliver the agentic workforce of the future. Our platform enables organizations to create and scale AI agents that integrate directly with business processes, driving efficiency, transforming operations, and delivering real results. With built-in governance and safeguards, we help enterprises deploy AI securely and confidently.
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