

PP033: AI and Machine Learning 101 for Cybersecurity
Oct 1, 2024
Jeff Crume, a distinguished engineer and cybersecurity architect at IBM, dives into the world of AI and machine learning in cybersecurity. He clarifies misconceptions and explains how these technologies can detect anomalies and strengthen security. The conversation covers the challenges of siloed data and the potential of generative AI for innovative threat assessments. Crume also emphasizes the importance of transparency in AI models and the need for adaptive strategies to tackle evolving threats, all while mixing in humor and personal anecdotes.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 2min
AI and Cybersecurity: Unpacking Confusion
02:04 • 16min
Embracing Creative AI in Cybersecurity Threat Assessment
17:42 • 3min
AI in Cybersecurity: Balancing Innovation and Misconceptions
20:12 • 20min
Enhancing Cybersecurity Through AI and Automation
39:44 • 4min
Understanding Transparency in AI Models for Cybersecurity
43:16 • 3min