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AI Fraud Detection & Identity Verification

Fraud changes faster than rule sets. We deploy and manage machine learning models, identity checks and case workflows that catch more fraud while keeping approval rates and customer experience intact.

A person photographing an ID card with a phone to verify their identity
Service 06 of 14WorldTech Network

Scope

What is included

Stop bad actors at onboarding and in the transaction stream, without turning away good customers.

01

Transaction risk scoring

Models score payments and account activity in real time, tuned on your own history.

02

Document and biometric verification

ID document checks, selfie matching and liveness detection through vetted providers.

03

Device and behavior signals

Device fingerprinting and behavioral patterns that expose account takeover and bots.

04

KYC and KYB orchestration

Onboarding flows that route applicants to the right checks based on risk.

05

Case management

Queues, evidence and decision records your fraud team can work from and auditors can follow.

06

Model governance

Documentation, performance monitoring and bias testing consistent with model risk guidance.

Method

How it works

Three stages, each with a written output, so you always know what has been done and what comes next.

  1. 01

    Measure

    We baseline fraud losses, false positives and manual review effort.

  2. 02

    Deploy

    Models, identity checks and rules are integrated and run in shadow mode before going live.

  3. 03

    Tune

    Thresholds and features are adjusted as fraud patterns and your portfolio change.

Standards and technology

  • Machine learning scoring
  • Liveness detection
  • KYC and KYB
  • SR 11-7 model risk
  • Reg E

Questions

Asked often

All questions

Will this increase false declines?

The goal is the opposite. We run new models in shadow mode first, compare them with your current rules and only go live when they catch more fraud at the same or lower decline rate.

Do you build models or use vendors?

Both. We integrate proven identity and fraud vendors and add custom models where your data gives an advantage. You always know which decision came from where.

How is customer data protected?

Personal and biometric data is encrypted, access is logged and retention follows your policy and applicable privacy law.

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