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Welcome to BSidesLV 2016, our 8th annual BSides in beautiful Las Vegas, Nevada!
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Wednesday, August 3 • 10:35 - 11:30
No Silver Bullet. Multi contextual threat detection via Machine Learning.

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Current threat detection technologies lack the ability to present an accurate and complete picture of how threats are executed and fail to put together the multi contextual relationship of exploit chain indicators. A combination of behavioral and machine learning technologies can provide a more effective and complete assessment and prevention of threats in organizations relying on dispersed, static single indicator technologies. This approach also makes use of current static and single threat indicator technologies using Big Data computational models.

avatar for Rod Soto

Rod Soto

Senior Security Researcher, Splunk
Rod Soto has over 15 years of experience in information technology and security. Currently working as a Security Researcher at Splunk User Behavioral Analytics. He has spoken at ISSA, ISC2, OWASP, DEFCON, Hackmiami, Bsides and also been featured in Rolling Stone Magazine, Pentest Magazine, Univision and CNN. Rod Soto was the winner of the 2012 BlackHat Las vegas CTF competition and is the founder and lead developer of the Kommand && KonTroll... Read More →
avatar for Joseph Zadeh

Joseph Zadeh

Senior Data Scientist, Splunk Inc.
I love working on behavior based prediction problems and artificial intelligence so some of my favorite themes to talk about are: Covert channel detection (especially encrypted), probabilistic identity resolution, behavior based intrusion detection and machine learning for security . Behavioral intrusion detection is a really interesting topic because it highlights the limitations of machine learning as an algorithmic solution to a... Read More →

Wednesday August 3, 2016 10:35 - 11:30
Ground Truth Florentine F