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Thursday, October 15 • 2:50pm - 3:50pm
Using Math to Beat Malware

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In order to keep up with modern attackers, security technologies need to evolve at the same pace without cumbersome human involvement. When taking full advantage of mathematical risk factors and machine learning, we can identify and classify “good” files and teach the machine to recognize and react to “bad” files by segregating them away in real time.

We will show you how a math and machine learning approach to computer security will fundamentally change the way we understand, categorize, and control execution of every file. In other words, how to keep you and your data safer.

Speakers
avatar for Meg Stiles

Meg Stiles

Marketing Coordinator, Account Executive, Connectivity Communications Inc.
Meg Stiles has been in the IT Networking and Security industry for only 4 years, but has been in the problem-solving industry for her lifetime! She is a certified Gal Friday due to her varied experience that spans many different industries and talents, including customer service... Read More →


Thursday October 15, 2015 2:50pm - 3:50pm EDT
Room 207 The Penn Stater Conference Center Hotel

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