Transparent scoring to cut false positives

The problem

Rules-based monitoring systems generate too many false positives.

Rigid rules flag ordinary transactions as often as suspicious ones, burying analysts in alerts to close manually. The risk isn't just operational cost, but time taken away from the reports that actually matter.

The solution

Transparent scoring that goes beyond the rules.

Legenda AML Transaction Monitoring combines behavioral patterns and past AML decisions into an explainable score, reducing false positives without sacrificing the defensibility of decisions.

Legenda AML capabilities for Transaction Monitoring

Multi-source data

Multi-source data analysis

The AI agent integrates data from multiple sources — transactions, KYC profile, external information — building a unified view of the customer. The AML decision history further enriches the analysis, supporting a more complete assessment.

Behavioral patterns

Surfacing behavioral patterns

The AI agent identifies recurring behavioral patterns and anomalies in the customer's transactions, distinguishing genuinely significant deviations from the normal operational variation that rigid rules flag as suspicious.

Fewer false positives

Fewer alerts, more signal

Fewer irrelevant alerts mean more time for the reports that matter. Analysts focus on high-risk cases instead of manually closing hundreds of false alarms.

Continuous learning

The model improves over time

Every decision made by the Compliance team enriches the scoring model, improving over time the system's ability to distinguish legitimate behavior from genuinely suspicious activity.

Discover Legenda AML Transaction Monitoring

Transparent scoring, not just rules

A certified solution. No training required, SOC 2 Type II, GDPR compliance, and EU data residency.