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AI & Cyber from a Detection Engineer’s Perspective: Explainability Matters and Context is King

cyberbuilders.substack.com · 1,523 words · saved by 1 readers

This week is a new series on AI, Cyber, and Explainability. The series results from a passionate conversation and collaboration with Max Heinemeyer, Chief Product Officer at Darktrace. I thank him warmly for his contribution to the Cyber Builders community. Just so you know, I am not affiliated nor have any interest in the company. This blog post is not sponsored. As I described earlier, Cyber Builders is not just a weekly publication. It’s a platform for collaboration in the cybersecurity industry (see Cyber Builders: A Collaborative Approach to Cyber Security) In this series, we'll embark on a journey to demystify AI and cyber detection, from the fundamentals of detection engineering to the complex interplay of machine learning algorithms in threat identification The new series will focus on a critical topic related to cybersecurity: how to understand and, consequently, trust a cybersecurity detection system. I will explore detection engineers’ needs, the definition of alert and anom

Hello Cyber Builders! This week is a new series on AI, Cyber, and Explainability. The series results from a passionate conversation and collaboration with Max Heinemeyer, Chief Product Officer at Darktrace. I thank him warmly for his contribution to the Cyber Builders community. Just so you know, I am not affiliated nor have any interest in the company. This blog post is not sponsored. As I described earlier, Cyber Builders is not just a weekly publication. It’s a platform for collaboration in the cybersecurity industry (see Cyber Builders: A Collaborative Approach to Cyber Security) In…

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