Episode 44 — Detect storage abuse through access patterns, anomalies, and logging discipline
This episode explains how to detect storage abuse by learning what normal access looks like and then identifying deviations that indicate misuse, a common GPCS pattern when questions test analysis rather than vendor features. You’ll define storage-relevant signals such as unusual listing behavior, spikes in read volume, access from new locations or identities, repeated access-denied events that indicate probing, and suspicious use of sharing workflows. We’ll connect these patterns to logging discipline: ensuring access events are captured, time-synchronized, retained long enough for investigations, and enriched with identity context so you can attribute actions. A scenario follows a user account that rarely touches storage but suddenly performs broad listings and downloads during off-hours, and you’ll practice deciding what to check first, what evidence confirms abuse versus a legitimate job, and how to tune alerts to avoid constant noise. The goal is to build a reliable detection mindset that matches exam expectations and supports real incident triage. 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.
