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Raleigh ISSA January 5, 2017 Chapter Meeting
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Raleigh ISSA January 5, 2017 Chapter Meeting

AGENDA 5:15 – 6:00pm Career Services (Conference Room 1) 5:15 – 6:00pm CISSP Study Group (Conference Room 2) 5:15 – 6:00pm Back-to-Basics (Main Room) 6:00 – 7:00pm Dinner/ Drink / Socializing 7:00 - 7:15pm Board Updates (Main Room) 7:15 – 8:30pm Main Presentation (Main Room) Megan Mullaney -The Enterprise Immune System: Using Machine Learning for Next-Generation Cyber Defense

1/5/2017
When: First Thursday of the month
5PM-830PM
Where: RTP Headquarters/Conference Center
12 Davis Drive
Research Triangle Park, North Carolina  27709
United States
Contact: Votingboard@raleighissa.org


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Raleigh ISSA THURSDAY January 5, 2017 Chapter Meeting

Meeting Sponsor

   

AGENDA

5:15 – 6:00pm Career Services (Conference Room 1)

5:15 – 6:00pm CISSP Study Group (Conference Room 2)

5:15 – 6:00pm Back-to-Basics (Main Room) Extended Social time

6:00 – 7:00pm Chic-fil-A/ Drink / Socializing (Lobby)

7:00-7:15pm Board Updates (Main Room)

7:15 – 8:30pm Main Presentation (Main Room)  Megan Mullaney -

The Enterprise Immune System: Using Machine Learning for Next-Generation Cyber Defense


 

Main Presentation 7:15-8:30 Darktrace

Megan Mullaney

Bio:

Megan Mullaney is a Cyber Security Account Executive at Darktrace based out of Washington, DC. Megan focuses primarily in the Southeast, and has worked with many organizations to implement Darktrace’s Enterprise Immune System solution. Megan holds degrees from The University of Virginia and The Fuqua School of Business.

Megan can be contacted at Megan.Mullaney@darktrace.com

 

Abstract:

The Enterprise Immune System: Using Machine Learning for Next-Generation Cyber Defense

From insiders to sophisticated external attackers, the reality of cyber security today is that the threat is already inside. A fundamentally new approach to cyber defense is needed to detect and investigate these threats that are already inside the network - before they turn into a full-blown crisis.

Based on unsupervised machine learning and probabilistic mathematics developed by specialists from the University of Cambridge, new ‘immune system’ technologies are capable of learning the ‘self’ of an organization. By analyzing every network, device, and user, and modeling them as they go about their day-to-day activity, the Enterprise Immune System can establish a highly accurate understanding of normal behavior. It can therefore spot abnormal activity as it emerges, and even take precise, measured actions to automatically curb the threat.

Rules and signatures are not keeping pace with today’s rapidly evolving cyber attacks. The Enterprise Immune System represents a fundamental step-change in automated cyber defense, is relied upon by organizations around the world, and can cover up to millions of devices.

In this session, learn:

* How new machine learning and mathematics are automating advanced cyber defense

* Why 100% network visibility allows you to detect threats as they happen, or before they happen

* How smart prioritization and visualization of threats allows for better resource allocation and lower risk

* Real-world examples of unknown threats detected by ‘immune system’ technology


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