AI Fraud Detection Agent

Legacy rule-based fraud systems are catching less than 40% of modern fraud. Attackers have learned to exploit the gaps between rigid rules, slipping increasingly sophisticated schemes past your defenses.

Meanwhile, false positives frustrate legitimate customers — blocking valid transactions, triggering unnecessary alerts, and eroding trust. The worst part? Real fraud escapes detection while your team chases phantom threats.

Detection rate jumps to 95%+ — catching sophisticated fraud patterns that rule-based systems miss entirely. Your fraud losses drop dramatically.

False positives drop by 60%, meaning legitimate customers stop getting blocked and your team stops wasting time on false alarms.

Real-time risk scoring completes in under 200 milliseconds — fast enough to evaluate every transaction without adding friction to the payment experience.

Triage deploys a 6-model ensemble pipeline that evaluates every transaction from multiple angles simultaneously — behavioral patterns, device fingerprinting, geolocation, velocity checks, network analysis, and merchant risk profiling.

Each model produces an independent risk score, and the ensemble weighs their signals intelligently to produce a final fraud probability. This multi-model approach catches patterns that any single model would miss.

When fraud is detected, the system can automatically block the transaction, flag it for manual review based on confidence level, and even auto-generate SAR filings — turning hours of investigator work into minutes.