Sep 30, 2025

challenges enterprises face when managing AI across multiple third-party vendors. The new capability centralizes vendor oversight with a unified inventory system and pre-mapped controls for popular foundational GenAI models, including Agentic AI, reducing redundant documentation and establishing clear accountability between purchasers and vendors. “Organizations should be applying a uniform and consistent approach to AI governance across internal and vendor-based AI systems. Each AI project or use case should be evaluated for risk per the company's policies and governed commensurately - the internal versus vendor source of the AI should not differentiate this objective,” states Anthony Habayeb , CEO and co-founder of Monitaur “ These new capabilities help to ensure this objective is achieved by providing dedicated workflows, system integrations, and a streamlined integration path with other vendor risk management.” Monitaur vendor governance introduces continuously managed, pre-mapped controls for leading foundation models, including GPT and Claude. By embedding governance into existing privacy, security, and IT risk frameworks, enterprises can more effectively monitor vendor models in real time, ensure compliance alignment, and maintain resilience as AI systems evolve. “As enterprises shift from building to buying AI, third-party risk management faces compounding challenges with existing IT vendor risk and the added vector of AI model risk,” states Andrew Clark , Ph.D. CTO and co-founder of Monitaur. “We have worked with our customers to deliver a scalable vendor governance solution tailored to regulated enterprises, addressing the critical need for outward-facing AI system review and validation.” Effective AI governance begins with trust, especially when working with third-party vendors. By ensuring that key strategies are in place, such as mapping AI solution usage throughout your organization, asking the right questions during vendor evaluation, implementing and using pre-mapped controls for foundation models, and ensuring alignment with regulatory frameworks, you can build confidence in your AI vendor relationships. Monitaur vendor governance is the newest feature in its comprehensive AI governance platform to help customers have confidence in their use of AI and ensure their systems are fit for purpose, performing as required by the business, and mitigating compliance risk effectively. About Monitaur Monitaur is the leading AI governance solution helping highly regulated enterprises use AI systems that businesses, regulators, and consumers can trust. The company provides software and expertise that empowers organizations and their partners to define, manage, and automate essential best practices. They offer a unified system of record for governing the lifecycle of both internally developed and third-party AI products. With Monitaur, companies can accelerate innovation with clarity and confidence in the transparency, performance, fairness, safety, and compliance of their AI systems. For more information, please visit https://www.monitaur.ai , and follow us on LinkedIn at https://www.linkedin.com/company/monitaur