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Securing Your Digital Transformation Using Artificial Intelligence

IBM Safer Payments puts modern machine learning in the hands of on-site fraud management teams, which significantly improves their effectiveness.

Value Proposition

Financial services companies strive to stay competitive in the age of digital disruption- cutting costs with automation and growing revenue with improved customer experience through digital transformation. With the payments business undergoing massive change as payments become faster, and alternative and mobile payments take new forms, financial services companies face more sophisticated frauds yet with much lesser time to react. It becomes more vital than ever to adapt faster, spot new fraud patterns quickly, and have the control to apply countermeasures.

With our AI-enabled Anti-Fraud Solution, we modernize how financial industry may secure their payment channels in agile manner. No more ‘months’ of waiting model training, only to find out that the models become obsolete as soon as training completes, due to fast-shifting fraud trends. Model training now only takes minutes, allowing financial services to safeguard customers significantly faster and earlier against new fraud trends. No more ‘blackbox’, unexplainable model behaviors, risking customer experience. Our platform’s ‘whitebox’ AI approach and powerful behavior profiling provide crystal clear decision synthesis, and put the anti-fraud team in control to apply the countermeasures. As a result, financial services companies will benefit from significant reduce in false positive, improved hit rate, and high fraud savings.

Solution Details

  • Country:
  • Indonesia
  • Industry:
  • Agriculture
  • Banking/FSI
  • Government
  • Manufacturing
  • Retail
  • Telecommunications
  • Transport/Logistics
  • Solution Type:
  • Security

Solution Specifications

Price Indication – Price can be provided upon request Terms – Can be provided upon request

For more information, do contact us via the contact form available on this page.

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