Given the abundance of data produced in cyber protection from tools, logging, monitoring and similar, it is imperative to use data science and AI/ML techniques to gain meaningful insights from this data. This workshop will first deliver a presentation on core concepts of artificial intelligence, machine learning and data science, with a focus on applications to cybersecurity. Then attendees will be provided with a hands-on opportunity to build and train a machine learning model to address a cybersecurity challenge. Attendees will need to bring their own laptop, but the hands-on coding labs will be delivered via online notebooks.

This workshop will teach core concepts of artificial intelligence and machine learning with a focus on applications to cybersecurity, then provide attendees with a hands-on opportunity to build and train a machine learning model to address a cybersecurity challenge.

Learning Objectives:

• At the end of this session participants will be able to understand core concepts of artificial intelligence and machine learning, and understand how they can be applied to cybersecurity
• At the end of this session participants will be able to build visualizations for cybersecurity data using Python libraries and data science techniques
• At the end of this session participants will be able to develop and train a machine learning model to address a cybersecurity challenge

* Please note: This is not included in the Main Conference registration and requires a separate registration.