Fraud Rules Coverage
Overview of fraud detection capabilities and coverage areas
Total Fraud Checks Active
12+ Rules Running
Across 6 coverage areas
Last Updated
Jan 15, 2025
Rules tuned and optimized
Coverage Areas
6 Categories
Comprehensive fraud detection
Coverage Distribution
Fraud detection focus across different categories
Fraud Detection Categories
Transaction Pattern Analysis
Detects unusual inflows/outflows, anomalies in transaction frequency, and suspicious patterns in banking activity.
Behavioral Analysis
Monitors customer spending and earning consistency to identify deviations from normal financial behavior.
Identity & KYC Validation
Cross-checks customer information against multiple databases to verify identity and prevent fraud.
Income Consistency Checks
Validates salary and recurring income patterns to ensure financial stability and detect income manipulation.
Network & Relationship Analysis
Analyzes linked accounts and fund flows to identify suspicious networks and circular transactions.
Anomaly Detection Models
AI-driven statistical and ML-based patterns that continuously learn and adapt to new fraud techniques.
Audit Trail & Compliance
Every flagged case generates a full audit trail for compliance and model improvement. All fraud detection activities are logged with timestamps, rule triggers, and decision rationale to ensure transparency and regulatory compliance.