Episode 25 — Centralize and normalize logs for correlation, retention integrity, and fast search
This episode explains why centralizing logs is necessary for modern detection and response and how normalization turns scattered records into a usable investigative timeline. You’ll define centralization as collecting logs from endpoints, servers, network devices, identity platforms, and cloud services into a common system, then define normalization as parsing and structuring fields so events can be searched and correlated reliably. For the exam, you’ll focus on outcomes: faster investigations, better detection coverage, tamper resistance, and defensible retention, especially when adversaries try to delete local logs. We’ll discuss retention integrity concepts such as access controls, immutability, time synchronization, and chain-of-custody expectations when logs support legal or regulatory inquiries. Real-world scenarios include correlating identity events with endpoint telemetry to confirm whether a suspicious sign-in led to code execution, and using normalized fields to quickly pivot across users, devices, and IP addresses. Troubleshooting covers parsing failures, time drift, ingestion gaps, and the operational reality that poor field mapping can make “centralized logs” feel unusable during an incident. 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.
