Identity Fraud
Synthetic identities and altered documents caught at the door, each flag shown with its evidence.
Why it matters
Synthetic identities blend real and fake data, behave well for months, then bust out; US lender exposure reached $3.3 billion at the end of 2024 (TransUnion).
How the solution handles it
Agents inspect every uploaded document for edits, test whether the identity hangs together (age of file, ID issue date, contact history) and link applications sharing phones, addresses or devices. A fraud analyst sees each flag with its evidence and decides.
How an application moves
Five agents inspect documents, test the identity, link shared details and watch application speed; a fraud analyst confirms and decides.
What it reads, and what it hands back.
What goes in
- Application data
- ID, payslip and bank-statement files
- Bureau file and inquiry history
- Device, phone and email data
- Prior applications
What comes out
- Fraud case with evidence
- Tampered-document findings
- Linked-identity map
- Recommended action
Who uses it
The difference, in numbers.
Every figure is labelled: a target the solution is built to, an estimate, a typical published result, or a proven one.
Sources: TransUnion, H1 2025 State of Omnichannel Fraud Report ($3.3B, end-2024) · “Typical” = published figure · “Target” = design goal, measured in the live solution · agents = the live solution’s configuration
5 specialist agents. One person decides.
More in this division.
Every new customer verified across ID, CKYC and Video KYC in minutes, ready for CKYCR upload.
Cash-Flow UnderwritingThin-file applicants judged on twelve months of real cash flow, every number traced to a transaction.
Adverse ActionEvery decline gets specific, accurate reasons and a compliant notice, days inside the 30-day clock.
Build this
for your team.
We’ll show Identity Fraud running on your own documents.