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. AI/ML can be used to enhance many cyber activities such as detection of anomalies in network traffic, discovering vulnerabilities in software code, identifying insider threats, and more. 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.

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.