CIO Brief: AI in the SOC — Productivity Gains vs. Real Risks
Retrospective: this article looks back at events from March 2023, written in 2026 with the benefit of hindsight.
The short version: In 2023, Microsoft launched Security Copilot, an AI assistant for security teams. Many vendors followed. AI can make security analysts faster — but it can also be wrong, add significant cost, and create new risks.
Where AI helps today
- Summarizing complex incidents in plain language.
- Writing search queries and explaining technical data.
- Helping less experienced analysts work faster.
- Drafting reports for leadership.
Where caution is needed
- Accuracy: AI sometimes produces convincing but incorrect conclusions.
- Cost: usage-based pricing can grow quickly.
- Data: security data is sensitive; know where it goes.
- Over-reliance: teams may stop building core skills.
- Manipulation: attackers can plant content designed to mislead AI tools.
Questions to ask your team
- What specific tasks would AI speed up, and by how much?
- How will we measure whether it works?
- What will it cost at full use?
- Who checks the AI's conclusions before we act?
What good looks like
A focused pilot with clear metrics, human approval for any actions, documented data handling and a decision based on measured results.
The decision
Fund a short, measured pilot rather than a broad purchase. If the numbers don't show clear improvement, AI tooling is an expensive experiment — and your budget may be better spent on people or managed services.
- Microsoft Security Copilot Announced (Mar 2023): Generative AI Comes to the SOC Platform Changes
- How to Evaluate AI Assistants for Security Operations How-To & Hardening
- AI Security Tool Pilot Checklist: Data, Access and ROI How-To & Hardening