Fraud file

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Getting valuable information

Cooperation with customers also means obtaining information about them. Effective use of this information requires a tool that will allow for classification of information, building relations between individual entries, documenting the source of information and their quick analysis. Such a database is often confidential information, therefore it is important to precisely define the access to particular types of data.

AntiFraud Hub system has a dedicated module for managing information about customers and employees, which combines all these features and allows for their use in decision making.


  • Management of data subjects
  • Black and white ad-hoc letters, e.g. trusted accounts, restricted documents, high-risk entities
  • Management of geolocation data
  • Management of information categories
  • Management of rights to particular types of information
  • Fuzzy matching in search

Process support

  • Managing negative information
  • Analysis of anti-fraud of transactions and credit applications
  • Decision-making processes
  • Investigative analytics


Dariusz Wojtas

I have 15 years of experience in software development. I specialized in product management, fraud prevention and cybersecurity. I also responsible for R&D of AntiFraud Hub and kdprevent platforms. Technology is my passion, I graduated of Military University of Technology, Faculty of Cybernetics,  and MBA studies at French Institute of Management. In addition to this I graduated of University of Warsaw from Postgraduate Project Management studies.