2018 Chicago Fraud & Breach Prevention Summit , Analytics , Artificial Intelligence & Machine Learning

Finding Fraud Using Machine Data

Finding Fraud Using Machine Data

Security hygiene can be poor, and criminals know it. Fraudulent activity costs are in the billions worldwide across industries, and over 16 million consumers in the US were victims of identity theft or fraud in the past year. Learning to onboard new data at the speed of the business will ensure your fraud team can detect and investigate data to quickly find anomalies and reduce loss of money, reputation and organizational efficiencies.

See Also: Safeguarding against GenAI Cyberthreats with Zero Trust

In this session you will learn:

  • How to recognize examples of fraudulent activities in your environment;
  • How to more quickly find anomalies of transactions or behaviors of accounts that are fraudulent, acting fraudulently or being taken over;
  • Recommendations and best practices on how to get started detecting fraudulent patterns and activities by using machine data and an analytics-driven security platform.

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