Complex security solutions to detect and prevent threats to cybercrime in the financial sector
Date:
01/01/2015 to 31/12/2016
The aim of the project is to develop a comprehensive software solution in the area of detection and prevention of fraudulent behavior in the financial sector, using the latest knowledge in data and predictive modeling, analysis of complex graph structures and dynamic systems and extraction of knowledge from online data sources .
The solution of the project is attended by excellent experts in modeling and algorithmization at FIT CTU, together with experts from Profinit, with many years of experience in software development for the financial sector.
Week:
Wednesday, 8 August, 2018
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