IDES Technologies - Fraud Detection & Monitoring – Brussels, Belgium

IDES Technologies is a young and dynamic company founded in 2009 to provide accurate customized solutions for fraud management in industries like banking, insurances, healthcare and telecommunications. The solutions are based on eyeDES technology, a next-generation, customized analytical technology. This technology has the ability to develop and deploy multiple risk prediction scoring and decision making models for fraud management systems in industries as mentioned above.

It has become an essential requirement for institutions to review and adjust their fraud detection strategies more regularly and react quickly and rapidly to the changing market environment, as well as to ever changing fraud activities, tactics and trends. eyeDES solutions offer a very competitive and attractive Return On Investment (ROI) due to fraud detection effectiveness and efficiency. The solutions are fully automated, allowing customers to minimize operational costs such as infrastructure and staff.

At IDES Technologies, we leverage our expertise fighting fraud to help clients to detect and combat the most complex, costly, and difficult-to-detect patterns of fraud. Our vision is to work very close with our customers in order to fully understand and meet their challenges and demands.

 
 
  • "Every great and deep difficulty bears in itself its own solution. It forces us to change our thinking in order to find it."

    Niels Bohr

Latest Headlines

  • Reducing Losses from Reseller Fraud: A Merchants Perspective

    Online criminals have gone through a dramatic process improvement that’s hitting online merchants and direct marketers hard with a new level of reseller fraud and affiliate fraud.

    Online merchants offering affiliate programs, reseller programs and multi-payment trials are undergoing significant fraud increases resulting in higher charge backs, penalties and losses related to shipped-goods.

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  • Fraud - including scams, online theft, insurance cheats and tax fraud - costs the UK £30bn a year, according to an official estimate.

    The National Fraud Authority (NFA) has calculated the figure for the first time and said it equated to £621 per adult in the UK.

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Technology

  • Techniques used for fraud detection fall into two primary classes: statistical techniques and artificial intelligence (Palshikar 2002). Examples of statistical data analysis techniques are:

    • Data preprocessing techniques for detection, validation, error correction, and filling up of missing or incorrect data.

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