ML for Fraud Likelihood

ML for Fraud Likelihood

Solution

ML for Fraud Likelihood

Through a series of steps, the SEC is able to draw on machine learning applications to identify market misconduct and predict the likelihood of fraud. DERA – the Division of Economic and Risk Analysis, incorporates machine learning algorithms with human direction and judgement to help interpret machine learning outputs.

  • Use cases, geography and tags
  • Organizations that created, adopted or are mentioned
  • Ecosystem position
  • Link to the original asset
  • Comments and reactions