From alerts to autonomy: How leading SOCs use AI copilots to fight signal overload and staffing shortfalls

Thanks to the rapid advances in AI-powered security copilots, security operations centers (SOCs) are seeing false positive rates drop by up to 70% while saving over 40 hours a week of manual triage.

The latest generation of copilots has moved far beyond chat interfaces. These agentic AI systems are capable of real-time remediation, automated policy enforcement and integrated triage across cloud, endpoint and network domains. Purpose-built to integrate within SIEM, SOAR and XDR pipelines, they’re making solid contributions to improving SOC accuracy, efficiency and speed of response.

Microsoft launched six new Security Copilot agents today—including ones for phishing triage, insider risk, conditional access, vulnerability remediation, and threat intelligence—alongside five partner-built agents, as detailed in Vasu Jakkal’s blog post.

Quantifiable gains in SOC performance are growing. Mean-time-to-restore is improving by 20% or more, and threat detection times have dropped by at least 30% in SOCs deploying these ...