Cyber Fraud Threat Intelligence

MRC Singapore 2023
Oct 24, 2023

The solutions collect and analyze a wide range of data, including device identifiers, Group-IB’s global ID, device fingerprints, IP addresses, malware signatures, and anonymized data such as mule accounts and fraudster PII. This data can be used to identify fraud patterns and develop strategies for preventing and detecting fraud.

Using our experience in the field, we are creating Cyber Fraud Threat Intelligence networks that collect and analyze information on fraudsters from various sources, including financial institutions, law enforcement agencies, and the private sector.

Learning Objectives:

  • Fraud Prevention
  • Data Science
  • Data Sharing

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