SANS Data Science Lightning Summit
Data Science has become more critical to the ever-changing landscape in technology applied to detecting and defending against sophisticated attacks. But what exactly is it? How does it work? And how can it be used for cybersecurity and responding to intrusions?
The SANS Data Science and Artificial Intelligence Lightning Summit aims to provide a quick readout from some leading experts in this new field, discussing its practical uses in the rapidly evolving cybersecurity field. If you are not asking questions on whether your tools and capabilities are being built with Data Science and Artificial intelligence mechanisms this hour-long Lightning Summit is for you.
Moderator:John Hubbard
Speakers: David Hoelzer, Jess García, Ken Westin and Jason Trost
- Practical Machine Learning for Information Security David Hoelzer a SANS Fellow and author of more than twenty days of SANS courseware
Machine Learning and AI solutions are here to stay. Are you building solutions today? Can you build solutions? Are there pitfalls? David Hoelzer, author of the about-to-debut SEC595 Applied Data Science and Machine Learning for Information Security course will talk about one of the big pitfalls when it comes to building solutions with his mysterious-sounding, Of Hammers and Nails.
- Data Science for DFIR Jess Garcia a SANS Senior and the founder and technical lead of One eSecurity
In this short talk, Jess will share the benefits of applying Data Science and Machine Learning to DFIR, how these "new" technologies complement our traditional tools and techniques, where they fall in our DFIR methodologies, what is currently available out there, and how to get started with them.
- Cyborgs vs Androids: Artificial Intelligence, or Hybrid Intelligence? Ken Westin Director of Security Strategy at ReliaQuest
Over the past few years artificial intelligence has been a buzzword in cybersecurity. But, are these tools really using AI? Is AI even the right approach? Successful security programs still
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