Mapping Initial Steps for SOC AI Implementation

This guide outlines the initial steps for implementing AI in a Security Operations Center (SOC). It begins by emphasizing the importance of foundational building blocks and rearchitecting key SOC processes before embarking on the AI journey. The document describes various applications of AI, such as AI-assisted alert triage, which enhances manual processes by summarizing alerts and recommending triage steps. It also details the use of AI in runbooks for routine tasks like phishing triage and malware categorization, highlighting the need for pilot testing to ensure performance standards are met. Additionally, the guide addresses post-incident analysis, where AI can aid in reconstructing timelines and summarizing activities following major incidents. The document concludes by discussing how advanced SOCs can leverage AI for detection lifecycle support, emphasizing the importance of starting small and involving detection engineers in the process. Overall, the guide provides a structured approach to integrating AI into SOC operations.