Financial Crime Analytics

FNA Financial Crime Analytics

FNA Platform allows users to see create visual investigation tools to see how companies, banks and people are connected via various links. These dashboards are used for use cases ranging from Know Your Customer (KYC) and Customer's Customer (KYCC) analysis to financial crime investigations and Anti-Money Laundering (AML). FNA can help uncover criminal activity that is hidden from first sight.
FNA Platform also augments existing fraud detection systems by automating the generation of dashboards for case officers and by calculating graph features of the data used in machine learning models.

Key Features

  • Advanced Graph Analytics with more than 200 algorithms to use as features in fraud models.
  • Wide range of graph algorithms to identify patterns for AML.
  • Real-time calculation of new graph properties and queries on mutable graphs.
  • Scalable operations on graphs with hundreds of millions of nodes and billions of links either installed on-premise or on the cloud.
  • Easy Integration with APIs that work together with enterprise IT infrastructure, graph databases and external Fraud/AML software.

For Who?

  • Banks
  • FMI's
  • Payment Providers

Use Case


Automated Detection of Fraud

Payments form networks which can be automatically analyzed by network science algorithms. Existing research on large datasets proved that particular graph properties are good predictors of fraudulent transactions. AML detection is based on detecting suspicious patterns. There is rarely a dataset for true positives that would allow the development of statistical models. However, many of these known patterns can be automatically detected with graph algorithms. 
Graphs improve fraud detection by eliminating false positives and identifying true positives more accurately - saving time and money.

Anti Money Laundering

Manual Investigation of AML Cases

Insightful visual dashboards help manual investigation of prioritized fraudulent cases. The dashboards allow to overlay relevant different data sets, to filter out noise (irrelevant clusters, low risk accounts, etc.) and to recognize fraudulent cases faster.
Less noise, more valid signals. Hence more efficient manual investigation process, saving time and money.



Know Your Customer's Customer

Understand corporate interconnections for due diligence, criminal investigation, KYC, KYCC. FNA Platform's can access data from several data sources and API's (eg UK Companies House) to allows users to track interconnections and detect suspicious entities.


I believe FNA Platform will fundamentally transform how money laundering and fraud is fought at global banks.
Anthony Cosgrove
Co-Founder, Harbr

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FNA Financial Crime Analytics