SEON AML Transaction Monitoring
Real-time anti-money laundering compliance and transaction monitoring platform combining machine learning, customizable rules, and 900+ data signals to efficiently uncover financial crime.
Product Description
Overview
SEON AML Transaction Monitoring is an end-to-end compliance and anti-money laundering solution engineered to monitor customer transactions in real time. The platform seamlessly unifies traditional rule-based logic with predictive machine learning models to detect complex financial crime typologies such as structuring, layering, and mule account activity. By feeding transaction records alongside 900+ first-party risk signals—including device intelligence, behavioral biometrics, and digital footprints—into an agile rules engine, the solution automates alert triage and optimizes audit trails for regulatory reporting.
Highlights
Unified Fraud and AML Platform: Eliminates tool switching by enabling anti-fraud and compliance teams to collaborate inside a single workspace.
Advanced Velocity Rules Engine: Allows compliance teams to deploy real-time velocity and threshold checks to catch structuring behavior without developer help.
Adaptive Machine Learning: Utilizes transaction labeling and continuous feedback loops to constantly refine risk scoring and minimize false positives.
Real-Time Watchlist Screening: Provides continuous, automated screening against PEP databases, global sanctions, and high-risk jurisdiction lists.
Supported Cloud Infrastructure
SEON AML Transaction Monitoring is infrastructure-agnostic and seamlessly protects core transaction systems hosted across all major cloud environments, including Amazon Web Services (AWS), Google Cloud Platform (GCP), Alibaba Cloud, Huawei Cloud, and Tencent Cloud.
