Episode 21 — Systematize collection with repeatable, scalable workflows
Show notes
To move from a reactive posture to a professional intelligence operation, an analyst must systematize their collection efforts using repeatable and scalable workflows. This episode explores the design of automated collection pipelines that can ingest, tag, and route data from hundreds of sources simultaneously without manual intervention. We discuss how to use Application Programming Interfaces (APIs) and web scrapers to gather information from both open and closed sources, ensuring a consistent flow of data into the analytical engine. In a GCTI scenario, you might be asked to design a workflow that prioritizes incoming alerts based on their relevance to a specific Priority Intelligence Requirement (PIR). Scaling these efforts requires a deep understanding of infrastructure management and data orchestration to prevent bottlenecks during a massive surge in threat activity. By systematizing your collection, you free your human analysts to focus on high-level cognition rather than repetitive data entry. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.