Phishing Investigation Workflow
The structured process of analyzing, triaging, and responding to phishing alerts from initial detection through final resolution.
Overview
A phishing investigation workflow defines how security teams move from alert to action. The traditional workflow involves manual steps: receiving an alert, opening the URL in a sandbox, inspecting the page, checking domain signals, tracing redirects, documenting findings, and deciding on action. This process consumes 15 to 30 minutes per URL and creates bottlenecks when alert volumes are high. Modern phishing investigation workflows use agentic AI to automate the investigation itself - rendering pages, analyzing visual structure, tracing redirects, detecting credential forms, and producing evidence-backed verdicts in seconds. The analyst's role shifts from investigator to decision-maker, reviewing AI-generated evidence and taking action. This transformation reduces mean time to resolution from hours to minutes and ensures consistent analysis quality regardless of alert volume.
Real-World Examples
- ▸An automated pipeline that investigates suspicious URLs and delivers verdicts to a dashboard
- ▸A SOC analyst reviewing AI-generated evidence reports instead of manually inspecting each URL
- ▸A workflow where browser extension alerts trigger automatic AIPA investigation and dashboard logging
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