Asenion Launches Policy Packs for SAS AI Navigator

KITCHENER, Ontario - Oct. 19, 2026 - PRLog, Asenion, an AI compliance technology company, has announced the availability of Asenion Policy Packs for use in SAS AI Navigator. This move builds on a partnership between SAS and Asenion that began in 2022, initially focused on AI assurance capabilities for SAS Viya. The new policy packs extend the relationship from assurance of individual AI systems to a broader challenge faced by enterprises: turning complex compliance requirements into operational controls.

Asenion Policy Packs are designed to bring together a wide range of requirements that can apply to an organization's AI systems, including laws and regulations, regulatory mandates and obligations, international and national standards, industry frameworks and guidelines, contractual and customer requirements, model risk and information security requirements, privacy and data protection policies, human resources and employment policies, responsible AI policies, organizational risk policies, and custom and bespoke internal policies. This means an organization can move beyond maintaining a library of regulatory documents to establishing a direct connection between requirement → context → intent → control objective → control → verification → evidence.

Whether the AI system is a predictive model, generative AI application, AI agent, customer chatbot, employee-facing copilot, or another emerging AI system, the same compliance approach can be applied. At the heart of the collaboration is a deceptively difficult problem: compliance is written for humans, while AI systems operate through machines. Regulations, standards, and organizational policies are expressed in natural language. Organizations must translate those requirements into controls that can be applied to AI systems, tests that can verify whether those controls are effective, and evidence that can demonstrate the results.

David Van Bruwaene, Co-Founder and CEO of Asenion, developed this perspective through a background spanning philosophy, linguistics, and artificial intelligence. While pursuing his PhD in philosophy at Cornell University, Van Bruwaene developed a passion for linguistics and natural language processing (NLP), the field of AI concerned with enabling machines to understand human language. That foundation informs Asenion's approach today: understanding the language of the requirement, preserving its intent, and translating it into something an organization can operationalize, verify, and evidence.

Making AI requirements operational, organizations need more than visibility into where AI is being used. They need a practical way to understand which requirements apply to each use case and how those requirements become part of the governance process. Policy Packs allow organizations to bring structured compliance requirements into the same environment where they are managing their AI inventory, policies, and use cases.

SAS AI Navigator provides a centralized, vendor-agnostic view of AI models, agents, and use cases, helping organizations align AI use with government regulations and internal policies. The availability of Asenion Policy Packs extends this approach by providing structured compliance content that can be applied to the requirements of individual organizations and AI use cases.

From the language of compliance to the language of machines, the heart of the collaboration is a deceptively difficult problem: compliance is written for humans, while AI systems operate through machines. Regulations, standards, and organizational policies are expressed in natural language. Organizations must translate those requirements into controls that can be applied to AI systems, tests that can verify whether those controls are effective, and evidence that can demonstrate the results.

Asenion's mission is grounded in a broader vision: a world where AI benefits everyone. The company believes the future of AI compliance is not about replacing human judgment with automation. It is about creating a better division of work between people and machines. People define requirements, interpret context, make decisions, and remain accountable. Machines can translate, map, verify, monitor, and generate evidence at a scale that humans cannot. Asenion brings these capabilities together so organizations can build AI systems that are not only more capable but more understandable, measurable, and accountable to the people who rely on them.

Asenion ControlGen, the engine behind Asenion Policy Packs, transforms the language of regulations, standards, frameworks, organizational policies, and bespoke requirements into structured, operational controls. These controls are packaged into Asenion Policy Packs, which can then be applied to AI use cases through SAS AI Navigator. This architecture means organizations are not limited to a predefined library of AI regulations. They can use Asenion ControlGen to translate the requirements that are relevant to their own business, including bespoke internal policies, into controls that can be applied to virtually any AI use case.

The Asenion AI Control System is available today through AWS Marketplace and Microsoft Marketplace, offering organizations a practical way to understand which requirements apply to each use case and how those requirements become part of the governance process. The system brings together capabilities spanning policy and control management, AI assessment, verification, and assurance, enabling organizations to move from high-level requirements to evidence about how AI systems perform against those requirements.