How AI-Enabled Workflow Automation Can Help SOCs Reduce Burnout


Every day, they are expected to solve high-consequence problems with half the data and twice the pressure. Analysts are overwhelmed—not just by threats, but by the systems and processes in place that are meant to help them respond. Tooling is fragmented. Workflows are heavy. Context lives in five places, and alerts never slow down. What started as a fast-paced, high-impact role has, for many analysts, become a repetitive loop of alert triage and data wrangling that offers little room for strategy or growth. Most SOC teams also run lean. Last year, our annual SANS SOC Survey found that a majority of SOCs only consist of just 2–10 full-time analysts, a number unchanged since the survey began tracking in 2017. Meanwhile, the scope of coverage has exploded, ranging from on-prem infrastructure to cloud environments, remote endpoints, SaaS platforms, and beyond. Compounded at scale, this has led to systemic burnout across SOC environments—a legitimate business risk that hinders your organization's ability to defend itself.

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