HarvirSingh
Background
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Fraud Prevention & Identity Risk

Synthetic Identity Fraud Passing KYC Controls

Designed a Continuous Identity Trust Platform to detect synthetic identities beyond onboarding and reduce fraud losses.

Business Problem & Context

Fraudsters used synthetic identities, AI-generated documents, and coordinated onboarding attacks to create seemingly legitimate accounts that bypassed KYC controls and were only detected after significant financial losses occurred.

Architecture & Strategy

To solve the challenges, a robust and scalable architecture was required. We prioritized decoupling services and introducing event-driven patterns.

Identity Risk Engine
Behavioral Biometrics
Device Intelligence Platform
Synthetic Identity Detection Models
Continuous Trust Scoring
Fraud Investigation Workspace
Real-Time Risk Orchestration

Event-Driven Architecture Stack

Measurable Outcomes

Synthetic Identity Detection Rate

Fraud Loss Reduction

False Positive Rate

Account Approval Accuracy

High-Risk Withdrawal Detection

Investigation Resolution Time

Customer Friction Score

Core Tech Stack

Identity Risk Engine
Behavioral Biometrics
Device Intelligence Platform
Synthetic Identity Detection Models
Continuous Trust Scoring
Fraud Investigation Workspace
Real-Time Risk Orchestration

Key Impact

Improved synthetic identity detection rates, reduced fraudulent account activation, and strengthened post-KYC risk monitoring across customer lifecycles.