This guide provides a framework for introducing generative AI into security operations safely and effectively. Organizations should document use cases, data sources, processing methods, storage practices, risks, and mitigation plans. External AI services must be assessed, approved tools clearly identified, and formal policies established for privacy, transparency, accountability, and ethical use. GenAI should integrate with existing analytics, SIEM, and SOAR workflows rather than becoming another isolated tool. Security personnel require training on capabilities, limitations, and appropriate interaction methods. Routine correlation, reporting, and initial assessment tasks can be automated, while investigation summaries and cross-source analysis can accelerate response. Teams should track d

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