Fraud Detection & Risk Scoring AI
Protect your business from fraud, identity manipulation, and transaction anomalies with AI-driven risk scoring. We build intelligent fraud systems that detect suspicious behavior in real-time and prevent financial loss using machine learning and behavioral analytics.
The Impact Dashboard (Metrics)
Prevent Fraud Before It Happens
Traditional rule-based systems fail because fraudsters evolve rapidly, rules become outdated, and manual reviews take too long. High false-positive rates frustrate genuine customers.
Our AI Fraud Detection Systems utilize:
Real-Time Anomaly Detection
Identifying deviations from normal user behavior instantly.
Behavioral Biometrics
Analyzing typing speed, mouse movements, and navigation patterns.
Network Analysis
Detecting synthetic identity rings and linked accounts.
LLM-Assisted Investigations
Auto-generating case summaries to speed up human review.
Risk Intelligence Capabilities
Transaction Fraud Engine
Detect suspicious payments, high-risk transfers, and unusual spending patterns in milliseconds.
Behavioral Biometrics
Analyze user clicks, typing style (keystroke dynamics), and device patterns to detect bot activity.
Synthetic ID Detection
Identify deepfakes, manipulated documents, and mismatched identity patterns during onboarding.
Account Takeover (ATO)
Flag unauthorized access attempts using device fingerprinting and geo-velocity checks.
Real-Time Risk Scoring
Assign a dynamic risk score (0-100) to every login, request, and transaction using ML models.
KYC & Policy Validation
RAG-powered validation of KYC data against internal compliance rules and regulatory docs.
Anomaly Detection
Unsupervised learning models that identify "unknown unknowns"—new fraud patterns never seen before.
LLM Investigator Assistant
An AI Copilot that writes fraud case narratives, explaining why a transaction was flagged.
Multi-Channel Correlation
Monitor fraud signals across App, Web, Branch, and Call Center for a unified risk view.
The Fraud Detection Pipeline
From Raw Events to Real-Time Decisions.
Tailored for High-Risk Sectors
FinTech
Payment fraud, KYC verification, Transaction anomalies, Chargeback reduction.
Insurance
Claims fraud detection, Policy abuse patterns, Agent behavior monitoring.
eCommerce
Fake orders, Promo code abuse, Payment fraud, Return/Refund abuse.
Telecom
SIM swap fraud, Subscription abuse, Identity mismatch.
Logistics
Delivery fraud, Warehouse inventory manipulation, POD anomalies.
Real Estate
Tenant verification, Document fraud detection, Transaction risk.
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