The clearest early evidence of fraud and laundering is the device behind the session. Flagright now reads it natively, through a new partnership with Fingerprint.

Fraud and money laundering used to sit in different rooms. Different teams, different tools, different budgets. That split no longer matches how criminals operate. The account taken over at login and the funds laundered through it an hour later often trace back to the same device. FRAML is the recognition that these are one problem, and one problem is best investigated in one place.

The scale is hard to ignore. The FBI's Internet Crime Complaint Center logged $20.9 billion in reported losses in 2025, a 26% jump over the prior year and its first year past a million complaints, with cyber-enabled fraud accounting for more than $17.7 billion of that. Most of it starts long before a suspicious transaction fires. It starts at the device.

That's the gap device intelligence closes. Today it plugs directly into Flagright.

The typologies you can now track

A device tells you things a transaction can't. Read correctly, it exposes patterns your rules would otherwise miss:

  • Account takeover. A trusted account logs in from an unrecognized device showing signs of evasion.
  • Multi-accounting and synthetic identity. One device opening or controlling many accounts, even after cookies are cleared or a VPN is switched on.
  • Mule networks. Dozens of supposedly unrelated accounts sharing a single device, or a tight cluster of devices in one physical location.
  • Device farms and bot-driven signups. Automated mass registration behind promo abuse and coordinated fraud rings.
  • Evasion itself. Emulators, tampered browsers, incognito sessions, and spoofed locations, each a risk signal in its own right.

Every one of these is a laundering precursor as much as a fraud event. Catch the device pattern early and you shorten the path to the SAR.

A device ID that survives evasion

Fingerprint generates a persistent visitor identifier from more than 100 browser, device, and network signals. It holds steady even when a user clears cookies, opens incognito, or switches IP through a VPN. That stability is the whole point. A fraudster's playbook depends on looking like a new person every time. A durable device ID takes that away.

Nothing about your setup has to change

You could already integrate device signals from your own provider. That doesn't change.

If you run your own device intelligence vendor or an in-house stack, keep it. Flagright ingests those signals and fires rules on them exactly as it does today. Your preferred provider stays your provider.

What's new is the option to skip that integration. If you don't have a device intelligence provider, or you'd rather not maintain one more contract and one more data pipeline, Flagright now offers Fingerprint's device intelligence natively, pre-integrated into Transaction Monitoring. The signals land in the same rules engine, feed the same Case Management workspace, and sharpen the same Dynamic Risk Scoring you already run.

One less vendor to source. One less integration to own. The same real-time control you already have.

Where this goes

The device is one more layer in a single financial-crime picture, alongside transactions, screening, and risk scoring. The more of that picture lives in one system, the faster an analyst moves from signal to decision. That's the direction we're building toward: fewer disconnected tools, one place to investigate the whole thing.

Flagright already powers financial-crime compliance for 100+ companies. Now the device signal sits inside the same rules the rest of your program runs on.

Already a customer? Talk to your CSM about turning on device intelligence. New to Flagright? Book a demo.