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Stopping Fraud_w_Predictive Analytics

Using Machine Learning to Reduce Costs

Financial criminals are successfully finding new ways to commit payments fraud. 78% of the JPMC sponsored “AFP Payments Fraud Survey” respondents reported they experienced their highest levels of fraud in 2018. While card chip technology has reduced card fraud, check fraud continues to increase in 2019.

This white paper provides key considerations for your fraud detection program, including:

  • Incorporating analytics to make better fraud decisions;
  • Key tools to detect fraud;
  • Finding the right combination for your institution; and
  • Decreasing fraud losses at a large institution.

ARGO’s research has found that traditional, rules-based fraud detection is limiting because rules overlap, and systems only act on situations defined in advance. These customer case studies measured the effectiveness of ARGO’s OASIS software.

Fill out the form on the left to download the white paper.