Beyond the Pilot
AI in Security Operations
Security work operates under an asymmetric threat that shapes everything we do in cyber. Attackers only need to succeed once, whereas we must succeed every time. This fundamental imbalance doesn't change with AI. If anything, it becomes more pronounced.
After more than twenty years in the cybersecurity field, I've witnessed various technologies evolve from experimental to embedded reality, but nothing like AI. Analysts use chatbots for log analysis. Engineers leverage AI for code review. Threat hunters accelerate research with AI assistance. Meanwhile, adversaries use the same tools to scale reconnaissance and craft attacks. AI isn't coming to security; it's already here, shaping outcomes whether we engage thoughtfully or not.
Read a Sample Chapter
Chapter 2 serves as a critical bridge between foundational concepts and practical application, establishing the non-negotiable boundaries for AI use in cybersecurity before diving into technique. The chapter identifies situations where AI tools may pose risks, such as in critical incident response or legal compliance, and presents alternatives that maintain AI's value within safe boundaries.
Most importantly, it helps readers avoid investing time in advanced prompting techniques for tasks that require human judgment, ensuring the four principles (context, specificity, structure, iteration) are applied only when AI assistance is suitable and safe.
About the Author
Joe Schumacher brings over 20 years of cybersecurity experience across analyst, incident response and security leadership roles. He writes about threat hunting and putting AI to work in security operations, and publishes open-source threat intelligence through Focused Hunts.
GIAC Certified Forensics Analyst (GCFA) | Certified Information Systems Security Professional (CISSP)
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