ML-Powered Fraud Detection.
Real-time anomaly detection, transaction scoring, velocity checks, and AML screening. Catch fraud before it costs you.
Key Features
Transaction Risk Scoring
Every payment gets a real-time risk score (0-100) based on amount, velocity, beneficiary history, time of day, and device fingerprint.
Velocity Checks
Detect unusual patterns - too many payments in short time, sudden large amounts, new beneficiaries receiving bulk transfers.
AML Screening
Screen beneficiaries against sanctions lists, PEP databases, and adverse media. Auto-flag and hold suspicious transactions.
Anomaly Detection
ML models trained on your transaction history. Learn your normal patterns, flag deviations. Self-improving with feedback loops.
Rule Engine
Create custom rules - block payments above ₹10L without dual approval, flag international beneficiaries, restrict after-hours transactions.
Incident Response
When fraud is detected: auto-block, alert compliance team, capture forensic data, generate STR (suspicious transaction report).
★ Deep Integration Partners - Direct API connectivity
How It Works
Transaction initiated
Risk score calculated
Velocity checks run
AML screening
Rule engine evaluated
Approve / Flag / Block
Alert sent if flagged
Audit log captured