NetReveal® AML Transaction Monitoring is an end-to-end solution that manages all aspects of anti-money laundering detection, investigation and reporting
Anti-money laundering compliance – simplified
BAE Systems
Our investigator-centric solution combines human intelligence with machine learning and advanced analytics to drive efficiency
30%
minimum reduction
Machine learning reduces false positive alerts by at 30%
50%
of banks
Trusted by 50% of
Europe’s largest banks
30-40%
faster profiling and detection
centralised 360 degree customer view consolidates alerts, evidence and metrics
Aite Group names BAE Systems a leading provider of AML RPA Solutions
and a leading Advanced Analytics vendor
and a leading Advanced Analytics vendor
July 2018 Aite Group, LLC report – “The AML of Tomorrow: Here Today”
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Benefit from a global view of financial crime
Gain the flexibility to monitor and quickly update your organisation’s AML detection model
as typologies and regulatory obligations change
Achieve 30-40% faster profiling and detection
Centralised 360° customer view consolidates related alerts, evidence and financial metrics and presents your investigators with a single combined alert related to a customer or entity.
Machine learning built in with dynamic visuals and link analysis
View transaction data within a single user interface to easily visualise a customer’s flow of funds by channels, currencies, accounts and countries. Shows users the wider network of where and who the transactions are being sent to.
Focused expertise – reduce your false positives by at least 30%
Focus on critical alerts and reduce false positives by a minimum of 30%. Manual repetitive assignment is automated with Intelligent Event Triage so teams can focus on high priority issues in real-time.
Test and enhance with AML Optimisation
You can opt to enhance your AML Transaction Monitoring with this package to further improve AML transaction monitoring and detection programmes.
NetReveal AML Optimisation helps analysts identify underperforming detections, test changes, and promote threshold updates to production.
Machine learning algorithms can also be scheduled to review rule-based monitoring and propose the optimal thresholds for those rules.
NetReveal AML Optimisation helps analysts identify underperforming detections, test changes, and promote threshold updates to production.
Machine learning algorithms can also be scheduled to review rule-based monitoring and propose the optimal thresholds for those rules.
We apply intelligence so you can transform your fraud detection
Operationalise artificial intelligence quickly and effectively to create, refine and improve fraud strategies. Use a combination of machine learning and scenario management to keep pace with evolving and increasingly complex fraud threats. Download our NetReveal Advanced Analytics factsheet for more information.