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AI Vendor Data Security: What to Ask Before You Connect Customer Data

Two 2026 breach reports found most AI-related security failures trace back to access controls nobody set up, not the AI itself. Here's what that means for choosing a vendor.

By Alex RiveraPublished September 20, 2026

**Before connecting customer data to an AI vendor, ask who can access it once it's connected, what happens to it if you cancel, and whether the vendor has actual access controls on the AI system itself.** Verizon's 2026 breach report found a third party involved in 48% of all breaches, up 60% in a year, and IBM's 2026 report found 92% of organizations that suffered an AI-related breach had no real access controls on the AI in the first place.

Why does AI vendor security matter for a small or multi-location business?

Because the vendor is now part of your business's attack surface, whether it's a five-person shop or a five-location group. Verizon's 2026 Data Breach Investigations Report, built from breaches worked between November 2024 and October 2025, found breaches involving a third party jumped to 48% of the total, a 60% increase in a single year (Verizon, 2026). The same report found something specific to AI: unapproved AI tool use by employees — 'shadow AI' — surged from 15% to 45% of employees in a single year (Verizon, 2026). A business doesn't need to run its own AI model to be exposed. It needs one employee pasting a customer list into a tool nobody vetted, or one vendor with broader access to your data than the contract implies.

What did the 2026 breach reports actually find about AI?

IBM's 2026 Cost of a Data Breach Report, based on 602 organizations breached between March 2025 and February 2026, found AI-enabled attacks now account for one in four malicious breaches — up 56% from the year before — and those breaches cost an average of $6 million, about $1 million more than the global average (IBM, 2026). The more useful number for a business picking a vendor isn't the cost, though. It's the cause: among organizations that had an AI-related breach, 92% lacked proper access controls on the AI system, and only 40% of all organizations surveyed had put access controls on their AI models and data at all (IBM, 2026). The failure wasn't the model. It was nobody deciding who's allowed to query it.

2026 findingFigureSource
Breaches involving a third party48% of all breaches, up 60% year over yearVerizon 2026 DBIR
Employees using unapproved ('shadow') AI tools45% of employees, up from 15% a year earlierVerizon 2026 DBIR
AI-enabled breaches, share of malicious breaches1 in 4, up 56% year over yearIBM 2026 Cost of a Data Breach Report
Breached orgs with no real AI access controls92% of orgs with an AI-related breachIBM 2026 Cost of a Data Breach Report

What should you actually ask an AI vendor before connecting customer data?

  • Who can access the data once it's connected — the vendor's support staff, a subcontractor, or only the system itself?
  • What happens to the data if you cancel — is it deleted on a defined schedule, or does it sit in the vendor's system indefinitely?
  • Is your data used to train or fine-tune the vendor's model for other customers, and can you opt out?
  • Is data encrypted both in transit and at rest, and can the vendor show that in writing rather than just claim it?
  • For a regulated business — medical, dental, legal, financial — will the vendor sign a business associate agreement or data processing agreement?
  • Does every connected integration have access scoped to only what it needs, or does one login open everything?

None of these questions are AI-specific. They're the same due diligence that applies to any software vendor touching customer data. What changed in 2026 is that a business can no longer assume a vendor has answered them just because the product works well in a demo — the IBM data above says most haven't.

Off-the-shelf AI app vs. a system built on infrastructure you own

Off-the-shelf AI appCustom-built, on owned infrastructure
Where customer data livesInside the vendor's shared platformIn accounts and databases the business controls
Access if you switch vendorsOften starts over — data doesn't travel with youData and history stay with the business
Who sets access controlsWhatever the vendor built for every customerScoped to exactly what this business needs
Compliance agreements (BAA/DPA)Depends on the vendor's plan tierNegotiated directly for the business

When is an off-the-shelf vendor's standard security actually enough?

For a lot of businesses, it is — and saying otherwise would be spin, not honesty. A low-volume business with no regulated data (no health records, no payment card storage, no Social Security numbers passing through the call) that picks a reputable vendor with a public security page, stated encryption practices, and a real support team behind it is taking a reasonable risk. The calculus changes for a multi-location group — a three-office dental practice in Missoula, a property management company running units across Bozeman and Kalispell, a law firm's intake line — where one vendor now touches customer data across every location at once, and where the type of data (health, tenant, or client information) raises the cost of getting it wrong. That's the case where asking for a signed agreement and scoped access, not just a security page, is worth the extra step.

Evaluating an AI vendor for a multi-location business and want a second opinion on the data-handling questions to ask? Book a free AI audit and we'll walk through it before you sign anything.

Sources

  1. Verizon (2026)
  2. IBM (2026)
  3. IBM (2026)
[ 05 ]Questions

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Is an AI receptionist a security risk for my business?

It can be, but the risk isn't inherent to the AI — it comes down to access controls, data retention, and encryption, the same factors that determine whether any software vendor is a risk. IBM's 2026 breach report found 92% of organizations with an AI-related breach had no real access controls on the AI system, which is a vendor-diligence failure, not a limitation of the technology (IBM, 2026).

What is 'shadow AI' and why does it matter for a small business?

Shadow AI is employee use of AI tools the business never vetted or approved — pasting customer data into a free chatbot, for example. Verizon's 2026 breach report found shadow AI usage jumped from 15% to 45% of employees in a single year, which means the biggest AI security gap at most businesses isn't the vendor they picked — it's the tools employees picked on their own (Verizon, 2026).

Does an AI phone or answering system need to sign a business associate agreement?

Only if it handles protected health information under HIPAA — medical and dental practices, primarily. Outside of healthcare, the equivalent document is a data processing agreement, which any vendor handling customer data for a business should be willing to sign on request.

Is a custom-built AI system automatically more secure than an off-the-shelf app?

Not automatically — a poorly configured custom system can be less secure than a well-run vendor platform. What a custom build on owned infrastructure changes is control: the business sets its own access scopes and retention rules instead of inheriting whatever the vendor built for every customer on the platform.

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