"We Already Have a Provider" Isn't a Fraud Strategy

Why Fraud Prevention Needs Connected Providers

Your team chose its providers carefully, connected them to your systems and built a process around them. They do their jobs well.

But "we already have a provider," even a great one, or several, isn't a fraud strategy. Each provider answers its own question, and none of them sees what the others found.

A fake identity passes the identity check while the device check raises a warning. A document looks genuine, and a real person, recruited to front a fake identity, passes liveness. The question isn't whether you have a provider, or whether that provider needs replacing. It's what slips through when the findings never meet.

Your providers may already have every piece of evidence needed to stop the application. When that evidence stays in separate systems, the fraud gets through anyway.

The Checks Pass. The Fraud Gets Through.

Consider a loan application. The applicant uses a synthetic identity, real personal details mixed with invented ones. They submit an edited bank statement, and a real person, recruited for the job, completes the selfie step.

The identity check queries bureau records and finds enough matching details to pass. The document check validates formatting and consistency, with no context from the identity results. The liveness check does exactly what it should: it confirms a real person is in front of the camera and screens for injected video, virtual cameras, filters and VPN signals. A real person is there, so it passes. Each pass moves the application forward, and no check ever sees what the others found.

Every provider did its job. Each one returned a clean result against the specific requirement it was set up to check. A face match doesn't prove the income is real. Matching personal details don't prove who submitted the application.

These attacks are growing faster than most teams are preparing for them. In the 2026 ACFE and SAS Anti-Fraud Technology Benchmarking Study, 77% of respondents reported an increase in deepfake social engineering, and only 7% of anti-fraud professionals said their organizations were more than moderately prepared for it.

The pressure starts before an account even exists. TransUnion found that 8.3% of attempted account-creation transactions globally in 2025 were suspected digital fraud, a rate that has risen year over year. Suspected attempts aren't confirmed losses, but the volume shows how much pressure sits at the front door.

The losses are real, too. The FTC received 3 million fraud reports and $15.9 billion in reported losses in 2025.

The answer isn't another provider. It's connecting what your providers already find, before the decision gets made.

The Real Gap Is Between the Checks

In a loan application process, a device check flags the applicant's computer because it has submitted other suspicious applications. The identity and document results look clean, but the flag recommends additional review.

The analyst pulls together every data point from the various views and screens, comparing records and findings to decide what's safe to approve. When the rest of the data looks clean, a single flag is easy to overlook, and the application moves forward before anyone connects the dots.

The device provider did its job. It flagged the risk. But that risk lived on a different screen than the approval, so the person making the decision never saw it.

The risk doesn't end at onboarding, either. Javelin's 2026 Identity Fraud Study found that new-account fraud victims increased 31% in 2025, and account takeover victims increased 18%. Evidence has to inform decisions at account opening and at every step after it.

Running checks in sequence only works when earlier results shape what happens next. The final decision has to account for every finding already collected, not just the last one.

Another Provider Can Add Another Silo

The obvious response is to add a check, and sometimes that's the right call. If your stack can't detect document tampering, you need that capability. But adding a provider, or swapping one out, doesn't fix how findings get handed off.

A sixth point solution becomes a sixth silo: one more place where useful evidence sits apart from the decision, analyzed without the context of every other check. The blind spot stays.

AI alone doesn't close the gap, either. Experian's 2026 U.S. Identity and Fraud Report found that 80% of businesses already use machine learning or generative AI in fraud management, while nearly 60% say their fraud losses have increased. AI didn't cause those losses. But it can't make a decision from data that isn't consolidated, or that lives in systems that aren't connected.

Before you add a provider or an AI model, define what it changes. Will it confirm or challenge the findings you already get? Will it catch something you keep missing? What triggers a review, and who owns it? If the plan ends with an analyst checking one more portal, the problem hasn't been solved.

Keep investing in providers that fill a real need. Give each one's findings a defined role in the decision. But before you buy another check, close the gap between the ones you have.

Connect the Checks Into One Decision

Fraud prevention depends on coordination: the providers you use, the results they return and the actions that follow. Keep the providers you trust. Add what's missing. Connect their findings before approval.

That's what Grid is built for. Grid connects the providers you already use, across identity, document, device, fraud and bank checks, into one workflow with normalized results. When a device warning conflicts with a clean identity pass, the conflict surfaces immediately, right alongside every other result.

Every decision is logged automatically: what each provider returned, which rules fired and what action was taken, all in one record. Your team adds context to the same case, and supervisors and auditors can trace what was checked, what came back and why the decision was made.

Any provider. One workflow. One decision. Your team owns the rules, and every provider's findings point to a clear next step.

What Happens Before Approval

Ask the person who approves applications one question: "When the identity check passes but another provider raises a warning, what happens next?"

The answer should name the action, who handles the review and where the reasoning is recorded. If it depends on someone catching the warning on another screen, that's the gap.

Your providers may already be doing their jobs. Connecting their findings is what lets your team make the right decision.

Not sure where your current stack is leaving gaps? Let our CTO perform a 30-minute fraud stack review and recommendation session. He’ll walk through the providers you already use, show where risk slips between them, and leave you with clear next steps, whether or not Grid is part of them.