Fraud Prevention

AI-powered real-time fraud detection and prevention for secure financial transactions

Business impact

• fraud detection rate — Higher detection rates reduce undetected fraudulent transactions and losses
• false positive rate — Lower false positives improve customer experience and reduce manual reviews
• transaction approval rate — Increased approvals enable smoother customer transactions and revenue growth
• customer trust — Enhanced security fosters loyalty and repeat business
• chargeback rate — Reduced chargebacks lower financial penalties and operational costs
• fraud loss reduction — Directly decreases monetary losses from fraud incidents
• operational efficiency — Automation reduces manual fraud investigation workload and speeds response
• fraud response time — Faster detection enables quicker mitigation and limits damage

Data requirements

• Transaction records (Structured) — Analyze payment and purchase data to identify suspicious patterns
• User behavior logs (Text) — Monitor user interactions and device usage for anomalies
• Device fingerprinting data (Structured) — Identify unique device characteristics to detect impersonation
• Geolocation and IP data (Numeric) — Detect unusual login locations or IP addresses linked to fraud
• Historical fraud cases (Structured) — Train models on past fraud incidents to improve detection accuracy
• Biometric data (Numeric) — Use behavioral biometrics to continuously authenticate users
• External threat intelligence (Text) — Incorporate known fraud indicators and blacklists

AI methods and techniques

• Predictive AI — Forecast potential fraud by analyzing transaction and behavior patterns
• Generative AI — Simulate fraud scenarios and detect synthetic identities or deepfakes
• Agentic AI — Automate real-time decision-making and adaptive fraud response
• Symbolic AI — Apply rule-based logic for compliance and explainability in fraud detection

AI models and model families

GPT-4o, Claude, Llama, Feedzai models, Custom ML fraud detection models

Industries

Real-world evidence

9 documented case studies on record.

Companies using this: Binance, DAT Freight & Analytics, Global Online Ltd, Grasshopper Bank, Mastercard, Onda Pi, Orca, Pay Pal China, Stripe.