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SAS AI Governance

by SASVerified

SAS AI Governance is an enterprise AI governance, model lifecycle & risk management for enterprise AI model governance. See features and AI Governance alternatives.

Product Type
Enterprise AI Governance, Model Lifecycle & Risk Management
Deployment
SaaS / Cloud / Hybrid / On-Premise
Industries
6+ industries
Regions
Global
Free Trial
Yes
Pricing
Contact Vendor

About SAS AI Governance

SAS AI Governance (part of the SAS Viya platform) is an enterprise artificial intelligence governance, model risk management, and compliance orchestration solution designed to help organizations monitor, audit, and govern analytical and machine learning models across their entire operational lifecycle. As organizations integrate predictive algorithms and generative AI models into high-stakes business decisions—including credit scoring, fraud detection, and medical diagnostics—ensuring algorithmic transparency, fairness, and compliance with emerging regulations like the EU AI Act and SR 11-7 is essential. SAS AI Governance establishes a centralized model inventory and catalog that registers models developed across diverse frameworks, including SAS, Python, R, and open-source machine learning libraries. The platform continuously monitors models in production, tracking data drift, model degradation, accuracy loss, and fairness metrics over time, automatically alerting model owners when model performance drifts below defined operational thresholds. Furthermore, SAS AI Governance provides automated model documentation generation, creating auditable lineage reports and model cards that provide complete transparency into training datasets, feature weights, and validation tests. SAS AI Governance empowers enterprise risk leaders to foster innovation while ensuring ethical and compliant AI.

Key Features

5 capabilities that SAS AI Governance offers.

Centralized AI model catalog

Automated data drift monitoring

Algorithmic bias and fairness auditing

Automated regulatory documentation

ModelOps lifecycle gates

Use Cases

Enterprise AI model governance
Algorithmic drift monitoring
Regulatory model risk documentation
Automated ModelOps compliance lifecycle

Industries Served

SAS AI Governance is used across 6+ industries.

Banking
Financial Services
Healthcare
Government
Insurance
Manufacturing

Regions

Global

Integrations

Works with the tools teams already use

SAS Viya
Python
R
AWS
Microsoft Azure
Google Cloud
Snowflake
Databricks

Deployment Options

Flexible deployment to meet your needs

SaaSCloudHybridOn-Premise

Platform & Access

What SAS AI Governance supports, at a glance.

  • API accessYes
  • Single sign-on (SSO)Yes
  • Role-based access (RBAC)Yes
  • Multi-tenantYes
  • Mobile appNo

Security & Compliance

Standards, regulations, and frameworks this product aligns with.

  • ISOISO 42001
  • NISTNIST CSF
  • SOCSOC 2
  • GDPRGDPR
SR 11-7EU AI Act
Supported platforms
Enterprise AI ModelsPredictive Analytics EnginesMulti-Cloud Workloads
Operating systems
Linux (RHEL, SUSE)KubernetesOS-Independent Cloud SaaS
Browser support
Modern web browsers (SAS Viya Web Studio)
Languages supported
Multiple (English, German, French, Spanish, Japanese, Chinese)
Data residency
United States; European Union; Customer Cloud Enclave Dependent
Deployment details
Cloud SaaS; On-premises; Hybrid; Cloud SaaS; On-premises Private Cloud; Hybrid (Kubernetes-native)

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