Real-time Insider Threat Detection using Machine Learning

Real-time Insider Threat Detection using Machine Learning

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Insider threats are one of the biggest cybersecurity risks to banks today. These threats are increasingly becoming more frequent, more difficult to detect, and more complicated to prevent. A large US-based bank chose StreamAnalytix to identify and prevent insider information security threats across sensitive applications in its retail banking and wealth management divisions.

Check out this case study to learn how StreamAnalytix helped identify and prevent these insider threats using predictive analytics and machine learning.

Vendor:
StreamAnalytix
Posted:
10 Sep 2020
Published:
10 Sep 2020
Format:
Paper
Type:
Case Study
Language:
English
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