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Automated Real Time Threat Detection with Behavioral Analytics
Cybersecurity experts all agree, that in most cases, the data necessary to detect an insider or cyber attack is already being captured by the organization. After virtually every breach and compromise, digital forensics are able to reconstruct the actions of the persons or entities involved based on exisiting logs and data.
Forensics by definition is too late!
Automated Behavioral Analytics and machine learning can detect threats as they are unfolding in real time, leveraging those same logs and data. Finding threats before the damage is done is critical, and only through the use of signatureless and automated analysis can this be accomplished consistently.
Join Securonix and Carahsoft for a User and Entity Behavioral Analytics (UEBA) webcast. Principal Architect and Industry expert, David Swift, will discuss key use cases and capabilities.
Attendees of this webcast will learn about:
- Advanced techniques to automate discovery of Insider Threat
- Machine learning of normal behavior and detection of changes in order to reveal compromised accounts and systems
- User and Entity Behavioral Analytics (UEBA)
Interested but cannot attend? Sign up to receive the archived recording of the presentation.
Questions? Contact me.
Ryon Williams
Securonix Government at
Carahsoft Technology Corp.
703-871-7472 (Direct)
888-554-7468 (Toll-Free)
securonix@carahsoft.com
http://ift.tt/1ZUhE7e
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Thursday,
November 5, 2015
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2:00pm ET;
11:00am PT
Duration: 1 Hour
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Featured Speaker
David Swift
Principal Architect
Securonix
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from cyber security caucus http://ift.tt/1LBk40V
via
IFTTT
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