New Account Fraud Detection & Prevention Solution

Fake and synthetic signups pass a document check. They can’t produce the digital footprint, device, IP, email and phone history a real applicant has. SEON catches them at registration and routes them to KYC.

Why KYC Alone Misses Fake Signups

Catch Synthetic Identities Before They Onboard

  • Identify synthetic and stolen identities by analyzing IP, device, and digital footprint signals to spot inconsistencies a genuine identity wouldn’t have
  • Flag applicants without consistent online histories, disposable email addresses or virtual phone numbers
  • Cut KYC and biometric spend by filtering fake signups out before verification checks are carried out

Block Bots and Mass
Registration Attacks

  • Detect emulators, virtual machines, residential proxies and remote access tools with device intelligence
  • Catch signup velocity spikes and the repeated use of the same device, network or location across new accounts
  • Decline scripted registrations at the point of submission using rules-based and AI risk scoring

Uncover Duplicate Accounts and Fraud Rings

  • Surface identical, similar and associated accounts automatically using shared devices, IP addresses and behavioral patterns
  • Expose fraud and money laundering rings alongside bonus abuse and multi-accounting with network analysis
  • Act on every connected account in one decision

Send Only Risky Applicants Through KYC

  • Block high-risk applicants, route uncertain cases to ID verification and let low-risk customers onboard instantly
  • Delay KYC until regulation requires it, so verification cost tracks risk instead of signup volume
  • Reduce false positives by scoring a wider set of signals before you add friction

Discover How Companies Win

“Integrating SEON’s digital footprint tools into our KYC process allowed us to implement dynamic friction, triggering additional checks only when needed. This approach reduces our KYC costs and helps us screen customers efficiently.”

Kaspars Magaznieks

“SEON’s digital footprint insights enabled us to improve approval rates for our customers by 5%, significantly enhancing our ability to onboard new customers quickly, resulting in notable ROI for our organization.”

Costin Mincovici

Frequently Asked Questions

What is new account fraud?

New account fraud happens when someone opens an account with a fake, stolen or synthetic identity. It also covers bots opening accounts at scale. The account is then used to claim signup bonuses, take out credit, launder money or act as a mule. Because the application data often mixes real and fabricated details, it frequently passes a standard document check.

How do you detect new account fraud before KYC?

Screen the data a user hands you at registration. Email age and online presence, phone number validity, IP reputation and device characteristics all reveal risk before any document is requested. SEON combines these into a single explainable risk score, so you can decline obvious fraud, escalate uncertain cases for ID verification, and approve genuine customers in seconds.

What is multi-accounting?

Multi-accounting is one person running several accounts on the same platform, usually to claim signup bonuses repeatedly, evade limits or return after a ban. SEON surfaces linked accounts using shared devices, IP addresses and behavioral patterns, then lets you act on the whole cluster rather than one account at a time.

Does screening for new account fraud slow down onboarding?

No. SEON’s API responds in milliseconds and runs before your KYC step, so low-risk customers see no extra friction. Verification is triggered only when risk warrants it, which means genuine users onboard faster and each approved customer costs less to verify.

How is this different from ID verification?

ID verification confirms a document is real and belongs to the person presenting it. It does not tell you whether that person intends to defraud you, and it costs money on every check. New account fraud screening reads device, network and digital footprint signals first, then sends only the applicants that need it into verification.