Episode 11 — Turn messy logs into decision-ready insights
Raw system logs are often voluminous and chaotic, requiring a disciplined approach to processing to transform them into insights that a leader can use to make a decision. This episode covers the essential techniques of data parsing, filtering, and correlation, showing you how to find the "needle in the haystack" of millions of log entries. We discuss the importance of field mapping and timestamp normalization, which allow an analyst to reconstruct an attack timeline across multiple disparate systems like a web server, a database, and an endpoint. In a GCTI lab environment, you may be tasked with writing queries in a Security Information and Event Management (SIEM) tool to identify specific adversary behaviors, such as lateral movement using stolen credentials. Mastering this stage of the cycle ensures that your final intelligence product is backed by a solid and defensible technical foundation, rather than just speculative theories. 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.
