GPU-accelerated NLP techniques for cybersecurity using RAPIDS

Welcome to our second talk of 2021! This month we're pleased to announce Rachel Allen from NVIDIA will be giving a talk about NLP methods for cybersecurity. We're also experimenting with a new format to allow more time to chat in breakout rooms after the end of the talk. Come prepared to chat with other folks in data science and learn about some very cool work!

Zoom link will be added the day before the event.

== Agenda ==

7:00pm: Introductions
7:15pm: Breakout Rooms
7:30pm: Talk by Rachel Allen
8:00pm: Q&A
8:15pm: Breakout Rooms
8:30pm: End of Event

== Abstract ==

The role of the security analyst is expanding just as organizations are producing and collecting more data than ever before. With a current worldwide shortage of over 2.93 million cybersecurity professionals, it’s important to give security professionals better more flexible tools that accelerate their workflow and help shrink the average time to detect an intrusion. Built using RAPIDS, an open-source GPU-accelerated data science library, CLX (“clicks”) is a collection of cybersecurity applications, primitives, and building blocks that allow security teams to create customized AI tailored for their environment. Included in CLX is cyBERT, a new way to parse logs, label events, and flag phishing emails using a pretrained transformer language model. This talk gives an overview of RAPIDS, CLX, and an introduction to NLP-based techniques for cybersecurity.

== Speaker Bio ==

Rachel Allen is a Senior InfoSec Data Scientist in the AI Infrastructure team at NVIDIA. Her focus at NVIDIA is the research and application of GPU-accelerated methods to help solve information security and cybersecurity challenges. Prior to joining NVIDIA, Rachel was a Lead Data Scientist at Booz Allen Hamilton where she designed a variety of capabilities for advanced threat hunting and network defense. She holds a bachelor’s degree in cognitive science and PhD in neuroscience from the University of Virginia.

== Sponsors ==

We thank MassMutual for their continued support of the Meetup. Check out the new MassMutual Data Science website here: https://datascience.massmutual.com/