Your vendors' AI is your risk. Govern it like it's your own.

The AI embedded in the platforms you buy, and the agentic systems your vendors deploy on your behalf, make decisions you are accountable for. Monitaur is the AI risk management platform that extends governance to third-party and vendor AI, so the same rigor you apply to models you build covers the models you buy. Discover the exposure, assess it, and reduce it.

Book a 30-minute walkthrough. See how Monitaur discovers, assesses, and reduces third-party AI risk across your vendor ecosystem.

Much of your AI risk lives in systems you didn't build.

Your procurement, underwriting, claims, and customer-facing systems increasingly run on AI built by vendors. When that AI makes a decision, the accountability is yours, but the visibility often is not. Most enterprises govern the models they build and leave the models they buy ungoverned.

Third-party AI is where governance programs have the largest blind spot. Vendor questionnaires and contract clauses document the relationship. They do not assess how a vendor's model behaves, whether it drifts, or what risk it carries into your regulated decisions.

Extend AI governance to the models you buy.

Monitaur applies the same governance rigor to vendor and third-party AI that you apply to models built in house. It brings supplier AI into one inventory, assesses each system against your risk framework, and validates that controls are in place, so vendor AI is governed rather than assumed. Governance that stops at your own code is not governance for the way enterprises actually run AI.

Discover the AI in your vendor ecosystem.

You cannot govern what you cannot see. Monitaur surfaces third-party and vendor-embedded AI across your platforms and brings it into a single inventory, with ownership, data flows, and the decisions each system touches. Supplier AI stops being a blind spot and becomes a managed part of your portfolio.

Assess and tier every third-party model by risk.

Monitaur runs a structured AI risk assessment against each vendor system, tiered to the decisions it influences. High-risk AI models that affect eligibility, pricing, or regulated outcomes get stringent scrutiny. Lower-risk systems move quickly. Your AI risk management framework applies consistently across internal and third-party models alike.

Reduce third-party AI risk, don't just document it.

Documentation records vendor risk. Monitaur reduces it. The platform validates that controls operate on third-party AI, monitors vendor models for drift and degradation, and measures the residual risk that remains. Third-party AI risk management becomes a continuous practice, not a point-in-time questionnaire.

From policy to proof: govern every project, including the ones you buy

Monitaur delivers production-ready AI governance across the complete model lifecycle, for models you build and models your vendors deploy.

AI inventory & catalog

Centralized visibility into every AI system, including third-party and vendor-embedded models operating across business units and geographies.

Model explainability and bias detection

Understand how models make decisions, including vendor models, and identify bias before it creates regulatory or reputational exposure.

Risk assessment & management

Structured risk workflows and tiering aligned to regulatory requirements, applied consistently to internal and third-party models.

Automated policy compliance

Control libraries that map to EU AI Act, ISO 42001, NIST AI RMF, OCC, SOX, HIPAA, NAIC, and FFIEC. Map once, govern at scale.

Pre-deployment assurance

Validate models before they go live, across internal and vendor-integrated systems.

Runtime validation & continuous monitoring

Visibility into model validation and performance across your portfolio, including third-party AI in production.

One platform. Every model type, built or bought. AI policy defines risk. Controls mitigate it.

The guide to governing third-party and agentic AI risk

Accelerating Enterprise AI Returns covers why third-party and agentic AI expand your risk surface, and how to bring vendor models under the same governance as your own.

What's inside:

Why agentic systems your vendors deploy carry read-and-write risk into your operations
How risk tiering scales oversight to the third-party models that matter most
A build-versus-buy framework, plus a five-question self-assessment for your own program

Enterprise-proven. Globally recognized.

Regulated enterprises use Monitaur to govern hundreds of AI models in production, including third-party and vendor-embedded systems, and reach full governance implementation in under 90 days. Risk is reduced where it lives, across every model regardless of who built it.

Fortune 200 financial services company

Scaled AI projects while reducing risk exposure

Insurance carrier

Full governance implementation and measurable ROI in under 90 days

Recognized by industry analysts

Gartner Market Guide for AI Governance Platforms: Representative Vendor

The Forrester Wave™: AI Governance Solutions, Q3 2025: Customer Favorite

Chartis AI Governance, 2025: Category Leader

FinTech Global InsurTech100 for 2025

Start with a technical walkthrough, not a commitment.

Wherever your third-party AI governance stands today, a short conversation is the clearest way to see your vendor AI exposure and what reducing it looks like. Bring your current vendor risk approach and your open questions. You'll leave with an honest read on where third-party AI is documented but not governed, and how to close that gap.

Monitaur is the only customer favorite, category leader, and visionary in the market, according to analysts. Schedule time with the team that's leading the way in AI governance.