SAS Viya AI Governance alternatives

1. 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

2. 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

3. 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

4. Collibra AI Governance

AI governance layered on Collibra's data catalog and lineage for trusted, compliant AI

Best for: Data-mature enterprises already using Collibra for data governance that want AI oversight anchored to catalog, metadata and lineage across many model platforms.

Frameworks: EU AI Act, NIST AI RMF

5. 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

6. 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

7. 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

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.