AML/CTF

The AML/CTF module is a comprehensive anti-money laundering and counter-terrorism financing platform that consolidates transaction monitoring, sanctions screening, customer risk profiling, network analysis, fund flow intelligence, and case management into a single unified system. It covers the full compliance lifecycle from detection through investigation to STR filing.

The Transaction Monitoring engine provides continuous real-time surveillance of all transaction flows. It applies configurable detection rules based on predefined AML typologies (structuring, layering, rapid movement) and custom rules. Every transaction is scored for risk, geo-tagged for jurisdictional analysis, and flagged when thresholds or patterns are breached — with alerts automatically routed into investigation workflows.

The platform screens against all major global sanctions lists including OFAC, UN Security Council, EU consolidated lists, FATF high-risk jurisdictions, and local regulatory databases. It also supports custom institution-defined blacklists. Fuzzy matching algorithms detect name variations and transliterations to minimize false negatives while configurable sensitivity controls manage false positive rates.

The Analytics & Intelligence module provides five powerful investigative tools: Network Analysis with graph-based relationship mapping and cluster detection, Geospatial Analysis with jurisdictional risk overlays, Fund Flow Analysis with Sankey-style money trail diagrams, Timeline Analysis for velocity and structuring detection, and Pattern Intelligence with ML-powered behavioral baselining and anomaly detection.

Yes. The Investigation & Cases module includes direct STR filing integration. When suspicious activity is confirmed, cases can be escalated through tiered workflows directly into STR preparation. All evidence — transaction details, analytics outputs, screening results — is consolidated within the case file with complete audit trails for regulatory defense.

False positive management is built into every layer: configurable threshold sensitivity controls balance detection accuracy with operational workload, the screening engine allows tuning of matching sensitivity for sanctions and PEP checks, alerts can be dismissed with feedback that refines rule logic, and ML-powered pattern intelligence continuously learns to distinguish genuine suspicious activity from normal behavior.