
AI CyberSecurity Podcast
How AI is changing Detection Engineering & SOC Operations?
Feb 7, 2025
In this engaging discussion, Dylan Williams, a seasoned cybersecurity practitioner with nearly ten years in detection engineering, shares his insights on AI's transformative effects on detection processes. He explores how AI is reshaping threat detection and reducing false positives while enhancing investigation speed. Dylan also delineates the difference between automation and agentic AI, emphasizes the importance of accurate signal identification, and introduces practical AI tools that detection engineers can utilize right now. Tune in for a glimpse into the future of detection engineering!
57:43
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Quick takeaways
- AI is transforming detection engineering by enabling engineers to focus on strategic roles while automating routine tasks.
- The integration of AI in cybersecurity operations significantly reduces false positives and enhances the efficiency of threat detection.
Deep dives
The Evolving Role of Detection Engineers
Detection engineers are anticipated to shift from manual tasks to more strategic roles as AI tools become integral in cybersecurity. In the near future, these professionals will likely function as strategic leaders in detection and response (DNR), delegating routine detection tasks to AI systems. The expectation is that AI will enhance and expedite detection processes, allowing engineers to focus on higher-level strategy and threat analysis. As a result, the interaction between human experts and AI will redefine how security operations teams manage threats and vulnerabilities.
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