SAS has introduced a new solution, SAS AI Navigator, to help organisations gain stronger control over artificial intelligence systems while aligning with evolving regulatory requirements. With AI adoption accelerating across industries, the company aims to simplify governance and improve visibility into AI usage.
To begin with, the newly launched platform enables businesses to track AI models and agents from multiple vendors under a single governance framework. Not only does it centralise oversight, but it also ensures that organisations can monitor AI assets throughout their lifecycle—from development and deployment to retirement. SAS confirmed that it plans to roll out the service via the Microsoft Azure Marketplace in the third quarter.
Meanwhile, the launch arrives at a time when enterprises are rapidly adopting large language models and AI agents. However, as adoption increases, concerns around compliance, transparency, and security continue to grow. Research conducted by SAS in collaboration with IDC indicates that businesses are implementing AI technologies faster than they are investing in trustworthy AI frameworks.
Furthermore, industry projections highlight rising risks. According to Gartner, more than 40% of enterprises could experience compliance or security incidents related to unauthorised “shadow AI” by 2030. This underscores the urgent need for structured governance systems.
In response, SAS has positioned its platform to address governance at the use-case level. Instead of focusing solely on models, organisations can govern how AI interacts with customers, employees, and operations. For instance, companies deploying chatbot solutions can manage both the underlying AI model and its business application, ensuring regulatory alignment and operational consistency.
Additionally, the platform supports both internally developed and third-party AI systems. This flexibility allows organisations to integrate governance without disrupting their existing workflows. By offering compatibility with open-source tools and enterprise systems, SAS aims to provide a seamless governance layer across diverse environments.
At the same time, the launch strengthens SAS’s broader governance, risk, and compliance portfolio. The company continues to build capabilities around model risk management, bias detection, explainability, and data protection. Recognition from Chartis Research further reinforces its position, particularly after being named a category leader in AI governance solutions.
Michael Versace, research director for governance, resilience and compliance at Chartis, commented on the company’s position in regulated sectors. “By combining these capabilities with its deep expertise in regulated industries, SAS is in a position to demonstrate AI as a growth strategy for clients and prospects,” he said.
Moreover, the announcement reflects broader market pressure as organisations struggle to manage fragmented AI deployments. With multiple teams experimenting independently, businesses often face issues such as poor documentation, inconsistent controls, and unapproved usage.
SAS defines AI governance as a structured approach to managing risk, ensuring oversight, and enabling trustworthy AI adoption. The company emphasises that effective governance combines organisational culture, operational tools, and compliance frameworks to deliver transparency and accountability.
Importantly, SAS believes governance should go beyond compliance and serve as a catalyst for innovation. Reggie Townsend, vice president of SAS AI Ethics, Governance and Social Impact, said the company wants to shift that perception. “AI governance is too often thought of as a compliance measure,” Townsend said. “It’s a growth driver. Instead of fears of shadow AI putting the organisation at risk, AI governance empowers people to push the limits of AI within a structured, transparent and secure environment.”
Townsend added that ease of use will be central to whether governance tools are adopted in practice. “The biggest risk to any AI governance program isn’t regulation; it’s a tool so complex that no one uses it,” he said. “SAS AI Navigator was designed to make the path to responsible AI irresistible.”
Ultimately, SAS positions its latest innovation as a critical step toward balancing AI innovation with responsible governance, helping enterprises scale AI with confidence while mitigating emerging risks.
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