Verisoul | Device Risk

Device Risk

Prevent fake devices before they cause problems

We analyze 1000s of signals about every browser and device to detect fraudulent, headless, spoofed, and virtualized devices.

Try Free 30 Days

Laptop icon displaying the Verisoul mark, representing device identification.

Small detection label reading Device with a red MacBook Pro value.

Small detection label reading Browser with a yellow Chrome value.

Small detection label reading Real Device with a green True value.

Data field showing Location set to Los Angeles, California.

Laptop icon displaying the Verisoul mark, representing device identification.

Detection result card reading Real Device with a green True value.

Detection result card reading Browser with a yellow Chrome value.

Detection result card reading Device with a pink MacBook Pro value.

Detection result card reading Location with the value Los Angeles, California.

Stop bots, device farms, and fraudsters with device signals

Bot Accounts

Identify headless browsers and virtual machines used for bots.

Payment Fraud

Detect spoofed device fingerprints used for payment fraud.

Fake Accounts

Spot device farms, anti-detect browsers, and spoofed data.

Automate detection of high-risk devices

Works invisibly

Analyze the device integrity before users create accounts or transact -without adding friction or latency.

Detects sophisticated bots

Catch more bots & automation by spotting emulators, virtual machines, headless browsers, and automation frameworks.

Identify device farms

Prevent click farms by catching factory-reset devices, anti-detect browsers, and spoofed device data.

Phone showing a signup form next to risk signals for focus, shared fingerprints, automation, rooting and history.

How it works

Invisibly collect data

Collect data from the device and perform active testing.

Analyze the device

Identify data mismatches, find fraud breadcrumbs, and detect lies.

Score the device

Use AI to score the device's risk levels.

Wide layout of a signup form with detection results for lie, device and browser, ending in a real device check.

Signup form beside detection results flagging a lie, MacBook device and Chrome browser, and confirming a real device.

Straightforward scores, rich APIs

Use Verisoul's device risk scores out of the box or leverage our rich device feature detail to create your own models.

Explore Documentation

Read how Adgrand blocks geographies and VPN & Proxy IPs

Resources and insights

Our latest insights, fresh research, and updates

Yonder Data Solutions partners with Verisoul to strengthen fraud prevention in market research

Yonder Data Solutions partners with Verisoul to strengthen fraud prevention in market research

Verisoul, venture funding, and the Vatican police

Why Verisoul's Cincinnati Reds event was one of the best community-building moments the local research scene has seen

Introducing Sentry's Verisoul integration and what it means for data quality

CloudResearch partnered with Verisoul to integrate their device-level fraud detection directly into Sentry.

Why we use Verisoul: Inside our fraud prevention stack

Why Shark Earnings chose Verisoul vs IPQS vs FingerprintJS, what we use it for, how Verisoul fits into our broader security stack, and what that means for legitimate users. We'll also share some of the numbers from our own platform so you can see just how real the problem is, and how meaningful the improvement has been.