Cybersecurity Discoveries from Machine Learning

Presented by Mr. Curtis Bragdon, Darktrace 

Tuesday July 26, 2016

6:00 - 7:00 PM Networking and Technology Demonstrations

7:00 – 8:00 PM – Program

There is no cost to attend at Fairfax or Silver Spring

Machine learning enables heightened visibility into common patterns of attacks and unusual activity, often leading indicators of new threats and emerging attacks.  During this discussion, we will review several recent security threats, how they were detected, and how these findings could be used by cyber security practitioners across the enterprise security life-cycle.  In addition, we will review techniques that enable heightened threat analysis capabilities.

Curtis Bragdon has over 20 years experience designing and deploying software systems, helping teams design more secure software, and selling technical tools throughout the enterprise.  At Darktrace, he focuses on large customers, particularly those who need build processes that defend early against insider threats, APTs and other targeted attacks.

July Flyer.

Locations and Registration

The presenters will be at George Mason University’s Mason Enterprise Center location with the presentation video/teleconferenced to the following locations:

George Mason University Mason Enterprise Center-Fairfax 4031 University Drive, Suite 100, Fairfax, VA 22030   Host: Hung Ngo, Phone: 571-765-3333

US Food and Drug Administration (White Oak) Building 66, Room G512 10903 New Hampshire Ave Silver Spring, MD 20993 host: James Simpson, Cell: 301-996-4976

If you can host another location via VTC, please contact Hung Ngo (below)

Join online meeting: https://asq509.webex.com/asq509/j.php?MTID=mbe1b51c2d4c0cc7126819b7acedf6218 Meeting number: 805 274 863 Meeting password: g3c27D2b
Join by Phone:  Call-in toll number (US/Canada)	Access Code:  805 274 863

 

Registration: https://asq509.org/ht/d/DoSurvey/i/116740