From alerts to autonomy: How leading SOCs use AI copilots to fight signal overload and staffing shortfalls
1 min read
Summary
AI security ‘copilots’ are increasingly being adopted to help improve the efficiency and productivity of security operations centre (SOC) teams by automating and augmenting tasks to alleviate analyst workloads.
Burnout is a major issue in SOCs, with over 70% of SOC analysts reporting feeling burned out, often due to the high number of repetitive tasks.
The latest generation of copilots goes beyond chat interfaces to integrate with SIEM, SOAR and XDR pipelines to improve SOC accuracy, efficiency and speed of response, with gains of up to 20% in mean-time-to-restore and 30% reduction in threat detection times being reported.
SOC analysts often find their work rewarding but challenging due to the need to interpret multiple systems’ alerts and manually triage every intrusion alert, leading to high levels of burnout.
AI copilots can help to reduce the burden on SOC teams by automating routine tasks, allowing SOC analysts to focus on complex threats and helping to tackle issues related to staffing and skills retention.
Analyst burnout is driven by repetitive tasks and a continuous flood of low-fidelity alerts, but AI copilots can cut through this noise, letting experts tackle the toughest issues.