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SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals

SEC595Cyber Defense, Artificial Intelligence
SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals
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Rethinking Detection Engineering: A Practical, Threat-Informed Path Forward for Modern Security Teams

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Rethinking Detection Engineering: A Practical, Threat-Informed Path Forward for Modern Security Teams (PDF, 0.93MB)Published: 24 Feb, 2026
Created by:
Erik Van BuggenhoutStamatis Chatzimangou
Erik Van Buggenhout & Stamatis Chatzimangou

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The threat landscape is evolving faster than ever, with defenders facing an explosion of data, technologies, and attack surfaces. This rapid evolution demands that detection engineering become faster, more adaptive, and more efficient. Yet, despite the evolution of frameworks, practices, and tools, maintaining a detection library is still challenging for most teams.

Detection Engineering That Scales: Practical Strategies for Resilient, Maintainable Security Operations

Related Webcast

Join SANS Senior Instructor Erik Van Buggenhout, Splunk’s Director of Product Management Tim Nary, and NVISO Detection Engineering SME Stamatis Chatzimangou as they explore effective detection engineering.

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Meet Your Authors

Erik Van Buggenhout

Erik Van Buggenhout

Senior Instructor

NVISO co-founder and SANS Senior Instructor, leading cybersecurity education in advanced adversary tactics. Experienced in offensive security with extensive background in penetration testing and ethical hacking across Europe.

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Stamatis Chatzimangou

Stamatis Chatzimangou

Stamatis is a detection engineering subject matter expert with over a decade of hands-on experience in cybersecurity operations. He has worked with multiple MSSPs, defending environments in the EMEA region in roles ranging from L1–L3 SOC Analyst to SOC Engineer and Detection Engineer.

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