The Vendor Risk Blind Spot: Your Third Parties Are Using AI, and You Probably Don’t Know Which Ones

Here's a statistic worth sitting with: recent industry surveys find that a majority of organizations are only partially aware of which of their vendors are using AI tools, and roughly half of organizations experienced some kind of third-party cyber incident this past year, up from the year before. If you run vendor due diligence once at onboarding and rarely revisit it, there's a good chance your vendor list already includes companies feeding your data into AI systems you've never evaluated.

This isn't a hypothetical risk for large enterprises. Small and mid-size businesses are, if anything, more exposed, because they typically have fewer resources to monitor vendors continuously after the contract is signed.

Why AI Changes the Vendor Risk Equation

Traditional vendor risk management asks questions like: Where is our data stored? Who has access? What's the vendor's security posture? Those questions still matter, but AI adoption adds a new layer that most vendor questionnaires were never built to catch.

When a vendor plugs your data into a third-party AI model, a few things can happen that traditional due diligence misses:

• Your data may be used to train or fine-tune a model, meaning it doesn't just get processed — it can persist in ways that are hard to reverse.

• The AI tool itself may be a fourth party you've never vetted, with its own data handling and retention practices.

• Outputs generated using your data may be stored, logged, or reviewed by people outside your vendor's own team.

• Contractual language written before AI tools were common often doesn't address any of this, leaving a gap between what you assumed and what's actually happening.

State regulators are starting to pay closer attention here too. Financial and healthcare regulators alike have signaled that vendor tiering, due diligence depth, and audit rights are top areas of scrutiny following recent high-profile vendor-related outages and breaches. The expectation is shifting from "we did diligence once" to "we can demonstrate ongoing oversight."

The Practical Problem: Most Businesses Can't Answer the Question

Ask yourself right now: of your critical vendors — the ones with access to customer data, financial systems, or protected health information — how many have told you, in writing, whether they use AI tools to process that data? For most small and mid-size businesses, the honest answer is "we haven't asked."

That's not a failure of diligence so much as a gap that opened up faster than most compliance programs could adapt. AI tool adoption inside vendor organizations moved quickly, and vendor risk questionnaires built two or three years ago simply don't ask about it.

Closing the Gap: Where to Start

You don't need to rebuild your entire vendor risk program to address this. A focused update covers most of the exposure:

• Update your vendor risk questionnaire to explicitly ask whether AI tools are used to process your data, and if so, which ones and for what purpose.

• Tier your vendors by data sensitivity, and prioritize AI-related follow-up for the vendors with access to your most sensitive information first.

• Review contract language for data use, retention, and AI-specific clauses — many older contracts are silent on this entirely.

• Ask about subprocessors, since your vendor's AI tool provider is effectively a fourth party in your data chain.

• Set a cadence for re-review, rather than treating vendor diligence as a one-time, onboarding-only exercise.

The Bottom Line

Vendor risk management used to be mostly about security certifications and data storage locations. AI adds a moving target: tools and integrations that can change on the vendor's side without you ever being notified. The businesses that get ahead of this aren't necessarily the ones with the biggest GRC budgets — they're the ones asking the right questions now, before a regulator, a customer, or an incident forces the question.

Not sure what your current vendors are actually doing with your data? The Compliance Labs helps small and mid-size businesses build practical, right-sized vendor risk programs — including the AI-specific questions most questionnaires still miss. Reach out for a consultation to see where your vendor risk program stands today.