The GenAI is moving beyond chat interfaces to orchestrate real action for SOC teams, reducing cognitive load and toil for security analysts. To achieve sustainable improvements, GenAI needs to combine learnings from a broader set of development, operations, and business stakeholders with automated workflows that include machine language-driven skillsets and AI-driven tasks. Specialized models can reduce the overhead of GenAI by focusing on specific domains like cybersecurity, achieving higher levels of relevance with lower cost and smaller system footprint. Orchestrating actions through composite AI is necessary to mitigate cyber risk, requiring multiple AIs working in conjunction and leveraging existing workflow automation assets. The SOC will not operate itself but instead specialized AIs trained on security and operations training data will handle repetitive work alongside policy-based automation, allowing human experts to focus on critical issues.