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FinHubBy HabileLabs

Use Case

Layer document forensics, device intelligence and identity signals — standalone FinHub APIs — into your existing onboarding and lending checks.

The Problem

Fraud patterns evolve faster than manual checks

  • Forged and tampered documents pass basic visual review
  • Synthetic identities combine real and fabricated data
  • Onboarding and lending teams often call fraud checks inconsistently, or not at all

The FinHub Approach

Fraud signals available as APIs, everywhere you need them

FinHub's document forensics, device intelligence and identity APIs can be called from onboarding, lending or servicing — using the same underlying signals each time.

  • Document Forensics API detects tampering and manipulation
  • Device intelligence and behavioral signal APIs flag synthetic identities
  • Call the same APIs from any system to keep risk signals consistent across teams

Reference Architecture

How institutions typically combine these APIs

Most institutions call these standalone FinHub APIs at multiple points in their funnel and route results into their own fraud queue.

Document forensics

Your onboarding or lending system submits documents to the Document Forensics API for tampering checks.

Powered By

Backed by the FinHub API Platform

Every workflow on this page runs on standalone, production APIs already serving regulated institutions.

Industries

Built for regulated finance

We identified a synthetic identity ring within the first month of calling FinHub's fraud detection APIs from our existing onboarding flow.

Head of Fraud & Risk · Digital Lender

FAQ

Fraud Detection — FAQs

FinHub layers document forensics with device and behavioral signals and identity checks to catch synthetic identity and tampering that document checks alone miss.

Ready to strengthen fraud defenses?

Talk to our team about layering our fraud detection APIs into your existing workflows.