SAS Launched AI Navigator on Microsoft Marketplace
The new software provides organizations with a centralized tool to manage AI use cases and governance requirements.
Updated on Oct. 5, 2026 in Artificial Intelligence
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SAS has launched AI Navigator on the Microsoft Marketplace, a platform designed to manage the full life cycle of AI models and agents. The tool allows organizations to apply internal policies and external regulations across their entire AI infrastructure.
Why it matters
As AI tools and models proliferate within enterprises, many organizations struggle to maintain proper oversight. This software helps businesses combat AI sprawl by linking deployments to necessary governance frameworks and compliance standards.
The platform tracks AI use cases, models, and agents while supporting the full oversight life cycle from experimentation to retirement. It integrates policy packs developed by partners Protiviti and Asenion.
The players
SAS
SAS is a global software company specializing in analytics, business intelligence, and artificial intelligence solutions.
Microsoft Marketplace
Microsoft Marketplace serves as a digital storefront for customers to find, try, and buy software solutions built for the Microsoft ecosystem.
Erasmus University Medical Centre
Erasmus University Medical Centre is a prominent academic medical center located in the Netherlands that tests new technological innovations.
Protiviti
Protiviti is a global consulting firm that provides expertise in risk, advisory, and business technology solutions.
The details
The software creates a centralized inventory that tracks AI models and agents to ensure they remain compliant with institutional and external regulations. Erasmus University Medical Centre in the Netherlands has already tested the platform within a healthcare setting.
Timeline
October 5, 2026: SAS officially launched the AI Navigator product.
The Tech Race
This release reflects the broader industry shift toward formalizing AI oversight to mitigate operational and legal risks. It positions SAS within the competitive landscape by targeting the specific need for governance frameworks that replace fragmented, legacy management systems.
New and existing customers can access the software for six months at no cost to begin their evaluation. This trial period allows IT departments to integrate the tool into existing workflows to assess how it streamlines their internal governance policies.
The takeaway
Effective AI governance requires tracking models and agents from their initial experimental phase through to retirement. Companies that prioritize robust trust management systems are significantly more likely to achieve measurable returns on their AI investments.
Further reading
For more information on the evolving regulatory landscape, visit the Artificial Intelligence section.
Source note: This article includes information reported by IT Brief Australia.
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