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Prioritizing IT Monitoring Alerts with Anomaly Severity Scores

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In order to deal with growing and complex networks, organizations rely on anomaly alerts. However, these alerts tend to be false positives and a lot of noise. How can you sift through these alerts to gain actionable insights to protect your data?

This white paper examines why organizations are turning to behavioral analytics to reduce noise and takes a closer look at one organization's success with the strategy. Read on to learn how the enterprise leveraged machine learning to

  1. Identify abnormal behaviors
  2. Correlate anomalies across multiple data sources
  3. Reduce troubleshooting times
  4. And more
Vendor:
Prelert
Posted:
01 Feb 2016
Published:
12 Aug 2015
Format:
HTML
Type:
White Paper
Language:
English

This resource is no longer available.