Halifax Area Security Klatch

Meeting: 2017.09.27 Written by thehask on September 22, 2017

Welcome Back!

Hello all,

Here is to another fantastic summer with lots of sun and fishing, hope yours was great. The board enjoyed the break and are already back to business planning big things, stay tuned for updates in the coming months via HASK meetings and social media.

Our meeting sponsors this month are McAfee and OnX, Speaking on behalf of McAfee will be Sylvain Dumas, it has been a little while since we have heard from him and I am certain he has some new stories to share over a “sociable”.

OnX has also made some significant investments in our region and is working closely with the province to deploy a secure data centre. More details can be found here: https://www.onx.com/insights/news-articles/onx-canada-protect-secure-data-nova-scotia-government

HASK attendance is free to all, please come to network with your peers, have a drink or two and some laughs, but most of all come to learn and support the infosec community in our region.

Thank you,
Travis and the AtlSecCon Board.

September Meeting Sponsors:

Venue:

Historic Properties
1887 Upper Water St
3rd Floor (Above Lower Deck)
Halifax, NS

Agenda:

6:00 – 7:00 pm  Complimentary apps and drinks from our sponsors McAfee and OnX
7:15 – 8:15 pm  Sylvain Dumas – What is Machine Learning?
8:15 – 9:00 pm  Lightning talk from Ray Winkelman,  notices, news and all things infosec

Presentations:

Sylvain Dumas –  has been in the IT industry since 1979. He has been with McAfee for the past 18 years and has experience in network and security having helped many customers implement large interconnected environments. Specializing in the integration with the McAfee ecosystem including endpoints, data protection, endpoint detection and response as well as SIEM.

What is Machine Learning Anyway?

Machine Learning is a big topic these days. But what is it really? Is it Artificial Intelligence? Is it some type of voodoo magic? How does it work and what does it really do? Come learn about how Machine Learning works and how it does it. We’ll spend some time demystifying what it is and what it is not.

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