BAE Systems

Screen transactions to entities found on internal and external watch lists
with the fewest amount of false positive alerts
 
83%
reduction
Up to 83% decrease in false-positives
using our match-exclusion algorithms
+33%
of banks
Trusted by more than a third
of the global top 100 banks
30-40%
faster alert adjudication
centralised 360 degree customer view consolidates alerts, evidence and metrics

BAE Systems named "Category Leader"
 
in Chartis Financial Crime Risk Management Systems:
Chartis AML & Watch List Monitoring 2019 vendor landscape report
 
Case study: Nordics Financial... Working with a major customer in the Nordics we reduced their false positives by up to 83 per cent in the process.

 
 
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Book your personal demo now to see our solutions in action

 
 
 
 
Discover what the NetReveal Transaction Filtering Solution can do for you
 

Financial institutions are responsible for screening payments that could trigger hits against sanctions watch lists. They must screen cross-border international payments, but also more and more domestic transactions against internal, public and commercial aggregator lists to comply with local or international regulations.

 

Financial institutions are spending more time, money and resources investigating false positives as transaction volumes and worldwide cross-border money transfer activities increase. Missing an alert that is a true positive can have severe regulatory and reputational consequences if the transaction is not stopped.

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Filter transactions using advanced algorithms

Pinpoint transactions to entities
on watchlists quickly

Screen payments with NetReveal Transaction Filtering to meet requirements with a packaged, configurable, risk-based approach for watchlist investigators to facilitate regulatory reporting, transaction interdiction, and asset freezing. Compare attributes of the person making the payment, or attributes of the person receiving the payment, against attributes of known persons or entities that are maintained in watch lists.
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Scalable global regulatory compliance

2021-certified application includes protocols for any message type, including SWIFT MT and MX, ACH, and FedWire. Full support for ISO-20022

Realise up to 83% reduction in false positives

Achieve up to an 83% decrease in false-positives your investigators have to review using our Match Exclusion technology. Our advanced algorithms reduce false positives on average by 40-60%

Look beyond the matches

Intelligent Event Triage for NetReveal Transaction Filtering combines human and machine intelligence. Alerts are auto hibernated or escalated. The escalated ones are automatically enriched (using existing information) and their priority determined to make the most of an investigation team. Advanced post processing looks beyond the name match and into the context, history and risk of the transaction.

Increase detection accuracy

Synonyms and Weighted Words further reduce false positives and increase detection accuracy. Associate lists of words (nicknames, similar terms, financial terms) detect more variance and focus on what is important (weights).

Flexibility to enhance scenarios

Achieve higher accuracy and better false positive performance using our Build Your Own Algorithm feature. Users can use our standard algorithms as a basis to create their own, matching their data and their specific use cases.

Identify entities with
purposely altered names

Concatenated fuzzy name matching algorithm strengthens detection levels. Receive alerts on sanctioned entities or persons that have intentionally included too many or removed spaces to avoid detection by screening systems.

Maximise screening
model efficiency

Our Versioning feature allows users to adapt detection configurations easily and find what works. Investigators can store multiple versions of a detection configuration in the model repository then choose the model to deploy for screening.

Integrated view of
risk history

Anti-stripping enables your investigators to screen alerts against previously blocked payments

Factor in market
implications

Currency cut-off prioritises currency based on market to enable legitimate transactions

Capitalise on real-time and batch processing

Supports 350+ global watch lists and performs advanced screening against millions of watchlist entries. Send payments to our system through JMS, SOAP, REST, HTTP or Kafka and get the responses typically well under 40 milliseconds.


Deliver batch files or link your payments database for fast batch processing.

SWIFT-Certified Solution Provider for 10+ years
SWIFT Logo 2021
View full details of our SWIFT Certified Application on the SWIFT website 
 

 
Explore our comprehensive range of compliance solutions

Sanctions & PEP Screening

Factsheet

KYC / CDD

Factsheet

AML Transaction Monitoring

Factsheet

AML Optimisation

Factsheet

Advanced Analytics Platform

Factsheet

 
 
 
Get in touch with our experts today

 

Americas  +1 720 696 9830  | Europe, Middle East  +44 (0)330 1585268 | AsiaPac  +61 290 539 330