AI is revolutionizing many things, but how does it impact detection engineering and SOC teams? In this episode, we sit down with Dylan Williams, a cybersecurity practitioner with nearly a decade of experience in blue team operations and detection engineering. We speak about how AI is reshaping threat detection and response, the future role of detection engineers in an AI-driven world, can AI reduce false positives and speed up investigations, the difference between automation vs. agentic AI in security and practical AI tools you can use right now in detection & response
Questions:
00:00 Introduction
02:01 A bit about Dylan Williams
04:05 Keeping with up AI advancements
06:24 Detection with and without AI
08:11 Would AI reduce the number of false positives?
10:28 Does AI help identity what is a signal?
14:18 The maturity of the current detection landscape
17:01 Agentic AI vs Automation in Detection Engineering
19:35 How prompt engineering is evolving with newer models?
25:52 How AI is imapcting Detection Engineering today?
36:23 LLM Models become the detector
42:03 What will be the future of detection?
47:58 What can detection engineers practically do with AI today?
52:57 Favourite AI Tool and Final thoughts on Detection Engineering
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