Becoming an AI-ready SOC doesn’t happen all at once. It’s a progression—one that moves from understanding AI maturity, to assessing your operations, to measuring readiness, and finally, to operationalizing AI in ways that enhance detection, response, and analyst performance.
Below is a condensed roadmap that brings the entire series together. Each stage links to the deeper technical breakdown for teams that want to go further.
Before a SOC can evolve, teams must know what “AI maturity” looks like and how SOCs progress from manual operations to AI-driven decision support.
👉 Read the full breakdown: Defining AI Maturity in Cyber Operations
Readiness isn’t tooling. It’s the alignment of people, process, and platform so AI can perform reliably in the flow of operations.
👉 Learn the components of true readiness: What AI Readiness Really Means for Security Teams
A maturity assessment reveals strengths, gaps, and the steps required to move from reactive operations toward intelligent automation.
👉 Explore the assessment framework: Assessing SOC Maturity in the Age of AI
AI readiness becomes credible when it’s measurable—through data integrity, workflow consistency, automation reliability, and human-AI interaction.
👉 See the metrics that matter: Measuring AI Readiness Beyond the Buzzwords
Once the foundations are set, SOCs can progress toward AI-integrated and AI-driven operations through structured governance, feedback loops, and continuous improvement.