DFIR-as-Code: Scaled and Repeatable Incident Response

This report introduces the DFIR-as-Code framework, proposing the automation and codification of digital forensics and incident response into repeatable workflows spanning collection, triage, and contextualization. It contrasts manual, ad-hoc DFIR with structured, automated processes that improve speed, consistency, auditability, and scalability, leveraging tools (e.g., Plaso, Log2Timeline) and signaling mechanisms (e.g., Sigma, Yara) to enhance signal-to-noise and decision-making. The approach enables faster, governed responses—especially in regulated environments—by standardizing playbooks and enriching evidence with contextual data to support higher-confidence conclusions.