Identity Analytics: Exposing the "Who" in Anonymous Log and Machine Data

Identity Analytics: Exposing the "Who" in Anonymous Log and Machine Data

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Knowing who is responsible for what is happening in your IT environment is a critical component of maintaining a secure network. While discovering the identity responsible for specific activities is a necessary step in the forensic investigation process, in many situations, that information is not contained within the available machine data. Attempting to manually uncover identity information is a time-consuming and complex process.

LogRhythm’s Identity Inference Engine™ solves this problem by combining already-collected machine data with advanced analytics to automatically identify the “who” behind otherwise anonymous data. By extracting and adding identity details to provide relevant context even when analyzing anonymous log data, LogRhythm expedites forensic investigations and uncovers critical details tied to important events. By utilizing LogRhythm’s Identity Inference Engine™, customers are able to immediately enjoy the benefits of discovering the identity of users responsive for activities without any complex configuration or set-up.

Vendor:
LogRhythm, Inc.
Posted:
31 Jul 2014
Published:
29 Jul 2014
Format:
PDF
Length:
3 Page(s)
Type:
White Paper
Language:
English
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