A governed risk platform that brings compliance, fraud detection, and identity into one system. Real-time scoring, biometric checks, explainable alerts, and full audit trails—built for monitoring and controlled access.
Client
Financial Institution (NDA)
Industry
Public Sector
Year
2025
Services Provided
AI Compliance (AML/KYC) · Anti-Fraud Detection · Real-time Risk Scoring · Biometric Verification (Face Match + Liveness) · Behavioral Integrity Signals (Deception Risk) · Case Management & Audit
Compliance and fraud prevention fail when they’re fragmented. The core challenge was to merge AML/KYC controls, transaction monitoring, and fraud detection into one governed system—fast enough for real-time decisions, strict enough for audits, and respectful of biometric data privacy.
Auditability and regulatory-grade controls
Every decision needs traceability: why the alert fired, which signals mattered, and how reviewers resolved the case—fully logged and reviewable.
//01
Real-time detection
Risk scoring must run in-line with transactions and onboarding flows, balancing fraud prevention with minimal friction for legitimate users.
//02
Sensitive biometric data and consent boundaries
Biometric verification requires strict access control, purpose limitation, retention rules, and secure processing—designed for privacy by default.
//03
Behavioral signals
A real-time risk infrastructure layer for regulated businesses—combining AML/CFT controls, anti-fraud detection, biometric verification, and case management. Built for integrations, monitoring, and operational reliability.
//04
We designed the platform as modular risk infrastructure: a unified data layer, hybrid detection (rules + ML + graph), biometric verification, and an investigation workspace—with explainability, monitoring, and policy-driven controls.
Data pipelines and scoring features
Ingested transactional, device, behavioral, and KYC data into stable schemas with versioning and consistent features for scoring and monitoring.
//01
Hybrid detection engine (rules + ML + graph)
Combined deterministic rules for compliance coverage with ML models for anomaly detection and graph signals to reveal networks, mule activity, and coordinated fraud.
//02
Biometrics + integrity signals + case management
Implemented face match and liveness checks; added behavioral integrity indicators as a risk input; built an investigator console with explainable factors, evidence trails, and audit logs.
//03
A modular compliance and anti-fraud platform designed for production: real-time scoring through APIs, biometric verification with governance, and an investigator workspace with auditability—built to support secure operations and scalable rollout across products.
modules
Compliance, fraud, biometrics, cases
surfaces
Compliance, fraud, biometrics, cases
risk score
Unified risk scoring framework across onboarding and transactions
24
/7
Monitoring, alerting, and audit-ready logging for continuous operations
“You built more than fraud detection — you built governance. The system gives us explainable risk signals, secure biometric verification, and an investigation workflow we can audit and trust.”
— Compliance & Risk
