Collibra AI Governance alternatives

1. DataRobot

Enterprise AI platform unifying model and agent development, deployment, and governance across any environment

Best for: Large regulated enterprises needing an established, full-lifecycle AI/ML platform with unified governance across diverse deployment environments

Frameworks: EU AI Act, NIST AI RMF

2. IBM watsonx.governance

Lifecycle governance, risk and compliance for models and agentic AI, built on IBM's GRC heritage

Best for: Regulated enterprises, especially financial services, that need model and agent governance tightly coupled to established enterprise risk and compliance programs.

Frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR

3. ServiceNow AI Control Tower

A single command center to discover, observe, govern, secure and measure enterprise AI

Best for: Large enterprises standardized on ServiceNow that want to inventory, monitor and enforce controls over AI agents and models across many external systems from one console.

Frameworks: EU AI Act, NIST AI RMF

4. Domino Data Lab

Enterprise MLOps and governance platform for building and running AI in regulated industries

Best for: Large regulated enterprises (pharma, financial services, government) needing rigorous model governance, reproducibility, and audit trails across hybrid or on-prem infrastructure

Frameworks: EU AI Act, GDPR, SOC 2, HIPAA

5. Microsoft Purview (AI Governance)

Data security and compliance controls for Copilot and generative AI across the Microsoft estate

Best for: Microsoft-centric enterprises that want to govern Copilot and generative AI by controlling sensitive data access, classification and DLP across Microsoft 365, Entra and Azure.

Frameworks: EU AI Act, NIST AI RMF, GDPR

6. Weights & Biases

AI developer platform for experiment tracking, model management, and LLM observability

Best for: ML and LLM engineering teams needing best-in-class experiment tracking, model lineage, and observability across the training-to-production lifecycle

Frameworks: SOC 2, HIPAA

7. SAS Viya AI Governance

Model management, monitoring and governance across the analytics lifecycle on SAS Viya

Best for: Regulated, analytics-heavy organizations in banking, insurance and government that need rigorous model management, validation and monitoring within the SAS ecosystem.

8. Databricks Unity Catalog (Governance)

Unified governance for data, ML models, and AI agents on the Databricks lakehouse

Best for: Organizations building and operating AI on Databricks that want one governance layer spanning data, ML models and agents with continuous lineage from source to deployment.