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Machine Learning Applications using big data for securing end users

Event Details
Symantec protects hundreds of millions of users (consumer and enterprise) and their online interactions. We leverage massive amounts of anonymously collected data such as application behaviors, application stability and performance details, URL/web page characteristics, file information, process information, network information, security events (e.g., malware detections, firewall and IPS events, etc.) to understand patterns of system activities in order to create new and innovative security applications that deliver best in class security. Many machine learning approaches are employed to create predictive models that are applied in a variety of contexts both on the client and in the cloud to make real-time security decisions. This approach allows us to be extremely nimble, adaptive, and effective against the massive growth in malware as well as in combating increasingly sophisticated and targeted threats. This talk will discuss the machine learning applications and engines that Symantec successfully developed and deployed, and the challenges Symantec faced applying them to practical scenarios.

Speaker Bio
Sourabh Satish is a Distinguished Engineer in the Security Technology and Response group in Symantec’s Office of the CTO, where he leads research and development of security engines and technologies. As lead engineer and chief architect for Symantec’s Insight technology, Mr. Satish applies machine learning to targeted threat and general security problems. Mr. Satish has been at Symantec for more than 12 years. He is a prolific innovator with 90 issued patents. In the last 18 years, since earning his Bachelor’s Degree in Computer Science and Engineering from India, Mr. Satish worked as an engineer and technical lead on many security technologies such as network IDS, firewall, policy compliance, host IDS, server security, VOIP security, OS and application security, behavioral security, and personal information protection. These technologies ship in both consumer and enterprise products protecting millions of users.

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  • Joe D.

    There were two companies mentioned before the talk. There was one mentioned by someone who worked at google for 7 years. Does anyone happen to know the name of the startups mentioned during the "hiring announcement" phase of the talk.

    April 25, 2013

  • A former member
    A former member

    A good overview of ML and how Symantec implements ML to service its customer. Unfortunately, and understandably, the technical stack and other details could not be shared for obvious reasons and that would have been extremely helpful for those wanting to build-up ML in their own organizations.

    1 · April 23, 2013

  • Mahee

    Is there a video recording or slides available?
    I would really appreciate it if the organizers can post it.

    April 23, 2013

    • Bill

      We did video the event, thanks once again to volunteer Tom Moran! We have a backlog of videos to process - will post on our youtube channel after processing to insert slides. The channel is "sfbay acm".­

      April 23, 2013

  • Jay T.

    What's the biggest take home point, or top 3 if one could summarize? Thanks, and wish I could have been there. Cheers.

    April 22, 2013

  • Stephen

    Sorry, cross-scheduled with streamdrill/H2O meetup in SF

    April 22, 2013

  • Vasu V.

    Busy today at work, can't make it.

    April 22, 2013

  • Manish P.

    Sorry, I will be missing this meetup.

    April 22, 2013

  • Sourabh S.

    Sounds interesting!

    April 20, 2013

  • Ping

    Hi, Developers,

    Some of you may be interested in these events:

    1. This Saturday, Apr 20, Hackternoon have 2 Big Data related Meetups. One in MV which costs $49. One in SF which looks good.

    2. For SVBBDev: A casual Hack Day event on Apr 28, 2013, Learn, practice, succeed, and have fun, porting your existing Apps, or developing BlackBerry Apps:

    We'll have some fun swag to give away, and raffle too.

    2. Big Data on BlackBerry:

    3. Hack Night and BlackBerry Jam Americas 2013 Conference Recap:


    April 17, 2013

  • A former member
    A former member

    Will this event be recorded?

    April 17, 2013

    • Bill

      Probably - but there will be a delay before it is available. Come to the meeting!

      April 17, 2013

  • Rao V.

    Looking forward to see how big data influences the algorithm

    April 16, 2013

  • Manish P.

    Curious to know big data exploration and applications

    April 9, 2013

  • A former member
    A former member


    March 24, 2013

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