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User highlights that phishing email analysis workflows are still largely manual, involving extracting data, checking reputation, and stitching context, which consumes significant time even for clean emails. They are looking for tools or features that can meaningfully reduce this manual workload for SOC analysts.
Phishing emails keep coming, but the analysis workflow hasn’t changed much in years.Manually extracting data, checking reputation, and stitching context together eats a lot of time,even when the email turns out to be clean. For SOC analysts: \- What parts of phishing triage take the most time for you? \- Have you found any tools that meaningfully reduce the manual workload or is it still mostly DIY + scripts? Would love to hear what’s actually working in real environments