In this webcast, Tom Scanlon, Matthew Walsh and Jeffrey Mellon discuss approaches to using data science and machine learning to address cybersecurity challenges. They provide an overview of data science, including a discussion of what constitutes a good problem to solve with data science. They also discuss applying data science to cybersecurity challenges, highlighting specific challenges such as detecting advanced persistent threats (APTs), assessing risk and trust, determining the authenticity of digital content, and detecting deepfakes.   What attendees will learn: Basics of data science and what makes for a good data science problem How data science techniques can be applied to cybersecurity Ways to get started using data science to address cybersecurity challenges

Ver todos los episodios