Stop synthetic fraud
and borrower deceit

We evaluate device telemetry and behavioral integrity in real time—helping digital lenders de-risk portfolios without adding friction for genuine borrowers.

Trusted Across 4+ Countries

  • Payd
  • Real Deal
  • Zetu Courier
  • Protegey

Detect Device Spoofing

Problem

Fraud networks use Android emulators, GPS spoofers, multiple virtual environments, and app cloning tools to submit dozens of loan applications from a single machine.

Solution

KEVERD Device Recognition identifies rooted devices, headless emulators, proxy chains, and spoofed device parameters.

Loan application signals flow into the KEVERD device trust engine, which flags locked fingerprints, rooted OS, GPS spoofing, and emulators.

Detect Borrower Integrity

Problem

Traditional credit scoring only checks past financial repayment history; it cannot tell if an applicant is actively falsifying income, pasting copied credentials, or being coached by an agent.

Solution

Passive behavioral analysis tracks clipboard abuse, input anomalies (e.g., scripted rapid autofill vs. organic typing cadence), and identity credential reuse across your peer network.

Behavioral signals from a loan application—clipboard abuse, input anomalies, and identity reuse—are scored by a behavioral shield and flagged as detected risk.

De-risk your Credit Portfolio

Problem

Underwriting blind spots lead to sudden default spikes and bloated provisioning reserves.

Solution

Combine device security indicators with integrity scoring into an aggregate pre-underwriting risk score, delivered via API response in under 200 milliseconds.

Applicant devices and identities flow through a KEVERD funnel: high-risk profiles are dropped, and approved borrower-device pairs continue.