How Artificial Intelligence Used for Fraud Investigation Can Prevent Insider Threat

  • Date 20 Nov 2019 - Wednesday

How Artificial Intelligence Used for Fraud Investigation Can Prevent Insider Threat

20 Nov 2019, 15:55 - 16:40

Geek Street
Language:
English

Based on research from Goldsmith University we shall discuss how Artificial Intelligence used for fraud investigation can be the preventative answer to reducing insider threat.

After this session you will be able to:

  • Understand the workings of the WWII cracking the Enigma code is critical to preventing insider threats.
  • Consider Alan Turning's role in message/semantics’ vs. Gordon Welchman's role in communication pathways/traffic analysis, to identify and intercept threats.
  • Recognize how the use of Artificial Intelligence does not require linguistic analysis and semantics in order to detect threats, therefore completely language independent for reducing threats across borders.
  • Identify how Artificial Intelligence does not require a set of rules in order to identify threats. Rather analysing patterns to identify significant changes in behavior can ensure that critical events are not overlooked.

 

Contributors

  • Tanya Harris

    Speaker

    Director

    Harrman Cyber

    Tanya Harris CEO of Harrman Cyber, a UK company that has developed a machine learning technology for fraud investigation. Development partners...

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