DataRobot AI Governance

Automated adherence to compliance standards including EU AI Act, NIST, and custom frameworks with one-click customizable documentation for generative and predictive AI.

End-to-end governance platform for managing AI agents and models across an enterprise estate with centralized policy definition, automated compliance documentation, and enforcement across multiple environments and teams.

Batch and real-time workflow orchestration with native Apache Airflow integration, pre-built customizable blueprints, and dynamic compute optimization for managing AI pipelines at scale.

Automated testing and continuous compliance assessment for AI models in development and production. Supports EU AI Act, NIST frameworks, and custom compliance standards with one-click documentation generation.

A compute orchestration capability that dynamically deploys agents across edge, cloud, and on-premises environments for flexible, distributed agent execution.

Real-time metrics and customized alerts integrated with data science applications or SIEM tools for rapid incident response and governance monitoring.

An enterprise agent platform for building, operating, and governing AI agents at scale. Enables teams to deploy agents across on-prem, hybrid, and multi-cloud environments with built-in monitoring, orchestration, and compliance controls.

Pre-built, customizable agent blueprints with built-in integrations designed to be quickly deployed and infused into organization-specific processes and systems.

Centralized registry for organizing and deploying predictive and generative AI models, agents, and applications with automatic packaging of pipelines, vector databases, and prompts into production-ready REST APIs.

Integration with NVIDIA NIM Gallery for rapid deployment of pre-configured, GPU-optimized microservices. Enables easy customization of DataRobot agentic apps with NIM services and NeMo guardrails for security.

Pre-configured deployment and optimization of NVIDIA NIM microservices with DataRobot agentic applications, including NeMo guardrails for AI security.

Pre-production testing and validation of AI agents and models using synthetic or custom datasets to identify jailbreaks, bias, inaccuracies, toxicity, and compliance issues before deployment.

Service-led delivery of agents built and managed by DataRobot to help organizations quickly establish a full agentic workforce tailored to their specific needs.

Real-time monitoring, detection, and remediation of AI vulnerabilities including PII leakage, prompt injection, hallucinations, toxicity, and bias using a library of customizable guards and shields.

Serverless execution environment that automates GPU and CPU provisioning with dynamic resource allocation based on priorities like cost, latency, and availability.

Serverless environment that automates compute provisioning and deallocation with priority settings for cost, latency, or availability without manual DevOps overhead.

An optimization capability that finds the optimal balance between accuracy, latency, and cost for agent deployments to ensure production-grade performance.