Anatomy of a Hack Disrupted

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Download Every year, organizations spend millions of hours and countless sums of money trying to reverse the damage done by malware attacks. We all strive to avoid this fate, but as malware continues to evolve and advance, doing so is more difficult than ever.

This white paper takes a close-up look at how one organization used LogRhythm to isolate, identify and disrupt a potentially damaging malware attack.

Written by Randy Franklin Smith, this paper walks step-by-step through the details of how LogRhythm's AI Engine alerted the organization with a default, out-of-the-box rule and what the subsequent actions were in thwarting the attack.

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