Monitaur Vendor Governance
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Simplify AI Vendor Management
Manage AI risks from third-party vendors
If you're overwhelmed by managing AI vendors, Monitaur's Vendor Governance streamlines management with centralized inventory and pre-mapped controls that eliminate redundant work—establishing clear ownership boundaries missing in traditional approaches.
A uniform and consistent approach to manage AI vendor risk
Through 2026 at least 80% of unauthorized AI transactions will be caused by internal violations of enterprise policies concerning information oversharing, unacceptable use or misguided AI behavior rather than malicious attacks. This is according to the Gartner report Market Guide for AI Trust, Risk and Security Management. Learn more about how your AI governance strategy can cover your inherent risks.
"Organizations should be applying a uniform and consistent approach to AI governance across internal and vendor-based AI systems. Vendor Governance helps to ensure this objective is achieved by providing dedicated workflows, system integrations, and a streamlined integration path with other vendor risk management."
~ Anthony Habayeb, CEO
Centralize your AI vendor ecosystem
Govern proprietary and 3rd-party AI in one system. Create a unified view of all vendor AI systems with clear mapping to internal projects.
Govern foundational GenAI models
Utilize pre-mapped controls for 5 of the most popular foundational GenAI models, including Agentic AI, to efficiently track and govern these systems.
Reduce redundant work
Simplify governance with control inheritance from foundational GenAI models.
Integrate with your systems
Align AI-specific assessments with broader organizational systems across privacy, IT security, and compliance departments.