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IDES Technologies – Customized Anti-Money Laundering, Anti-Card Fraud

eyeDES solutions developed by IDES Technologies team are applicable to many industries, including but not limited to banking, telecommunications and insurance.

For the banking industry, IDES Technologies develops customized solutions for credit, debit and retailer card fraud detection, as well as Anti-money Laundering analytic solutions.

For the telecommunications industry, IDES Technologies implements customized solutions for landline and mobile phone fraud management. For the insurance industry, IDES Technologies provides clients with customized solutions for health insurance and car insurance fraud management.

eyeDES solutions are a very competitive and attractive Return On Investment (ROI) due to fraud detection effectiveness and efficiency. eyeDES technology is fully automated, allowing customers to minimize operational costs such as infrastructure and staff.
  		 

  • "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.

    Read more...

  • 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.

    Read more...

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.

    Read more...