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Device manipulation detection
That “new” user? Their 283rd account. They throw on a VPN, emulator, a new synthetic ID, do a factory reset, and to most checks, they look legit. Our device IDs persist where device manipulation misleads, completing the story with location and behaviour. Trust the good ones faster. Act on the rest with confidence.
GeoComply cut our payment fraud costs by at least 85%. They give us access to more detail and data for our ecommerce transactions than we’ve ever had before. The anti-fraud reports were literally good enough to take to the bank in order to win our chargeback disputes.
– Co-Founder & Co-CEO, Sightline Payments
I would say we’ve probably added 15% to our revenue projections based on products that we’re building with GeoComply’s services.
— CTO, BZZR
Delivering a geolocation solution which is not just compliant, but also built and optimized with the player experience in mind is a critical success factor for iGaming in North America. GeoComply has always demonstrated to us that they understand that and can deliver under tight deadlines and across all platforms.
– SVP & Chief Information Officer, Caesars Interactive
What impresses me the most is KYC pass rates. I don’t think there are many vendors out there that could say, ‘we’re giving you one endpoint where you could get 95% KYC pass rates.’ That kind of workflow can take years to build and integrate properly. GeoComply just delivers it.
— Head of Gaming, BETR
Device manipulation is any attempt to make one device look like a different, cleaner, or brand-new device. The goal is to create a fresh identity on the same hardware.
Every method leaves traces in the device's configuration, its physical location, and how it behaves. Reading those signals together links accounts that appear unrelated back to one user, cluster or address.
A stolen or AI-generated identity can pass document and selfie checks. The device set-up behind it is harder to fake. So don't chase the deepfake. Catch the emulator, the reset, and the tampering it took to look like a new user.
Every promotion is a target. A fraudster opening their 56th account needs a new device each time, or a convincing fake of one. We connect the accounts through the device, location, and behaviour they share. Your promo budget goes to real customers.
Scripts, remote-access tools, and device farms all run on environments that don't behave like a real person on a real phone. The environment gives them away, before the abuse scales.
You banned them for a reason. A factory reset and a new email is all it takes to come back as a first-time user. The account is new. The device isn't. We recognise the hardware underneath the reset and keep the ban where you put it.
A login from a device that's been tampered with, or one that doesn't match the account's history, is a signal worth a step-up before you let it through.
VPNs, proxies, and location-faking apps let someone claim to be somewhere they're not, in a market you're not licensed to serve or a promotion they don't qualify for. The reported location is easy to change. The device telling you it is much harder to hide.
Most fraud teams know the list.
Get device intelligence on your own platform
Talk to SpecialistWe gather deep device attributes, on-device through our SDK or in the page through JavaScript. System, hardware, and environment signals a browser fingerprint can't reach on its own.
Those attributes resolve to one persistent device fingerprint. That's what links accounts, sessions, and behaviour over time, even when someone clears their cookies or claims to be new.
Real-time signals cover every known way to erase or forge that fingerprint. The attempt to break it leaves marks of its own. That's what we catch.
Adaptive Verification
Precise location is the strongest signal you can add to a fraud decision. And the best geolocation knows when to stay out of the way.
ON REAL RISK · we step up
Compliance-grade location, only for the sessions that earned it. Precision climbs to 95–99%, up from 87% without location.
It's one integration. The system reads every session and right-sizes the check in real time.
The friction lands on the fraudster.
Not on the people you spent to acquire.
Precise location. Only when the risk is real. Precise location is the strongest signal you can add to a fraud decision. And the best geolocation knows when to stay out of the way.
Add friction for everyone, and slow the users you want.
Lower your guard, and write off the fraud that slips through.
Adaptive Verification. Full-strength verification, aimed only where the risk is.
ON REAL RISK · we step up. Compliance-grade location, only for the sessions that earned it. Precision climbs to 95–99%, up from 87% without location.
Adaptive verification is the third option. It's one integration. The system reads every session and right-sizes the check in real time. The friction lands on the fraudster. Not on the people you spent to acquire.
When a device is wiped to look new, other approaches lose the trail. We know how to treat the wipe as a signal in itself.
Our direct work with Apple and Google reaches device-level signals most providers can't, so you catch manipulation that would otherwise pass clean.
No need to hand-code a new rule for every fraud tactic. Our models keep pace as tactics shift, and the decision stays yours. Every signal and verdict plugs into your stack through our API and MCP.
It's a variation of the same play: one device made to look like many, wiped, cloned, emulated, or rerouted, so the same person can show up as a stranger. No real customer needs an emulator or multiple factory resets to sign in. Here's how that one pattern surfaces across industries.
Every account you open is meant to belong to one real player, in a state where they're allowed to play. A wiped device is how a banned or self-excluded player walks back in as someone new.
You're onboarding applicants who'll bank with you for years, and you answer for every one of them. Emulators and remote-access tools let a synthetic applicant, or an unauthorized user inside a real account, look like an ordinary user.
Your markets are only as honest as the assumption underneath them: that every position belongs to a different person. Position limits mean little when one trader can be a hundred devices.
Every wallet and every withdrawal has to trace back to someone you're permitted to serve. Rooted devices and virtual machines are how restricted users, airdrop farms and fraud rings arrive looking clean.
Your rights deals are drawn by household and by border, and the platform has to hold that line. Emulated devices and spoofed locations turn one seemingly harmless subscription into a potential unauthorized distribution network.
Real developers and researchers should be able to build on your models. Emulated devices and synthetic fingerprints are how one operation fans out into thousands of accounts that look unrelated, distilling the model or using it to run something worse.
Every transaction rests on both sides being who they say they are. A factory reset is how a removed seller comes back, with fresh reviews and the same playbook.
Points, cash back, and play-to-earn rewards are built to drive real engagement. One device pretending to be a thousand cycles small payouts across accounts that were never people.
Device manipulation detection is the practice of identifying devices that have been altered to hide their true device identity. That includes emulators, rooted or jailbroken phones, cloned apps, anti-detect browsers, and factory resets used to fake a fresh start. Rather than trusting the identity a device reports, it reads the device's real characteristics and flags the signs of forgery or evasion. Corroborated with location and behaviour, those device signals connect manipulated devices that look unrelated back to one user, ring, or location.
An emulator builds a device identity in software, so it produces combinations of system and hardware attributes that a genuine phone never would. We detect those mismatches in real time, without needing the user to do anything.
Both describe a device whose operating system has been modified to remove the manufacturer's built-in restrictions. "Rooted" refers to Android, "jailbroken" to iOS. In both cases the modification lets a fraudster rewrite the device attributes an identity is built on, which is why we treat them as high-risk signals.
An anti-detect browser is a tool that forges a browser's configuration so every session looks like a different, brand-new visitor. It's the tooling behind industrial multi-accounting. We detect the forged configuration rather than trusting the fresh-looking fingerprint it presents.
See it run on your own traffic.
The fastest way to understand what you're missing is to look.
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