Use cases
One persistent ID. Endless ways to put it to work.
Every response pairs a persistent device ID with the risk context behind it, enough to stop fraud and recognize the customers worth keeping.
What you can do with it
Stop the bad. Recognize the good.
Same integration across every use case. You keep your own rules for blocking, stepping up, or clearing. Device ID anchors the decision to the device, the one identifier fraud can't swap out.
Account takeover
Tie every login to its device history and recognize when an account is being accessed from an unfamiliar device, the tell of account takeover, even when the credentials are valid. Surface the risky session so your team can respond on its own terms.
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Every login is tied to the device behind it, so a valid password from an unfamiliar device still stands out.
- Catch takeover even when the credentials are correct
- Recognize trusted devices and skip needless step-ups
- Surface the risky session for your team to action
Payment fraud
Flag transactions from unrecognized, spoofed, or high-risk devices before they clear, and carry device payment history across card rotations. Cut chargebacks and card testing while clearing trusted buyers with fewer false declines.
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Score the device behind every transaction before it clears, and keep its history across card rotations.
- Cut chargebacks and card testing
- Clear trusted buyers with fewer false declines
- Flag spoofed and high-risk devices at authorization
Fake account creation
Surface device farms and coordinated signups by spotting shared device signals across registrations, even when fingerprints are reset or identities fragmented.
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Shared-device signals surface farms and coordinated signups, even when fingerprints are reset or identities fragmented.
- Catch device farms behind mass registrations
- See coordinated signups single-session checks miss
- Stop synthetic clusters before the first account action
Promo & bonus abuse
Catch multi-accounting and serial promo abusers who create many accounts on one device to farm sign-up bonuses, referrals, and free trials. Protect marketing spend and unit economics.
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Spot the same device cycling through multiple identities to farm sign-up bonuses, referrals, and free trials.
- Catch multi-accounting on a single device
- Protect marketing spend and unit economics
- Hold through rotated IPs, emails, and cookies
Identify returning customers
Instantly recognize trusted, validated devices so loyal customers skip friction. Fewer step-ups, OTPs, and false declines mean lower checkout abandonment, fewer “why was I blocked” support tickets, and better retention.
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Trusted, validated devices are recognized instantly, so loyal customers move through with less friction.
- Fewer step-ups, OTPs, and false declines
- Lower checkout abandonment
- Fewer support tickets from wrongly blocked users
Fraud-ring & device-farm detection
Correlate shared device signals across accounts to expose coordinated fraud rings and device farms operating many identities from the same hardware, then map the connections with link analysis.
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Correlate shared device signals across accounts to expose rings and farms running many identities from the same hardware.
- Map the linked-account graph per device
- Surface coordinated patterns across identities
- Expose infrastructure shared across a ring
Account-sharing detection
Spot when one account is used across many unrelated devices, or many accounts share one device, to catch subscription abuse without punishing legitimate household use. Recover lost revenue by converting sharers with an upgrade prompt at the point of detection.
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See how many devices touch one account, and how many accounts share one device, without punishing normal household use.
- Spot subscription sharing and credential rings
- Convert sharers with an upgrade prompt at detection
- Recover revenue lost to shared logins
Ban evasion
Recognize a previously banned device when it returns under a new account, a fresh email, or cleared cookies. Because the identifier is anchored to the device rather than the login, repeat abusers don't get a clean slate just by signing up again, and IP, cookie, and email bans they'd normally slip past stay closed.
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A banned device is recognized when it returns under a new account, a fresh email, or cleared cookies.
- The signal is anchored to the device, not the login
- Holds through resets, VPNs, and new emails
- Repeat abusers don't get a clean slate
SMS abuse
Tie every registration and OTP trigger to a stable device fingerprint, capping requests per device and blocking known bad devices before a message is sent.
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Every registration and OTP trigger is tied to a stable device, so you can cap requests before a message is ever sent.
- Rate-limit per device, not just per number
- Spot OTP farming and toll-fraud patterns
- Flag known bad devices up front
Not sure where to start?
Spin up Device ID on your own traffic and see which of these patterns show up first. Live in days.
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