Episode 63 — Detect identity abuse by correlating logins, token use, and privilege changes
This episode focuses on identity abuse as a primary cloud attack pattern and shows how correlation across authentication, token activity, and privilege events produces stronger detections than any single log source. You’ll define identity abuse signals such as anomalous sign-in contexts, unexpected token usage, unusual role assumptions, and rapid privilege changes that do not match normal operational workflows. We’ll connect these signals to exam scenarios where you must identify likely compromise indicators and choose the most reliable evidence to validate suspicious access. You’ll also explore troubleshooting issues like shared accounts that blur attribution, incomplete logging that hides token behavior, and noisy alerts caused by legitimate automation that was never documented. The goal is a repeatable correlation mindset: link who signed in, what credential material was used afterward, and what privileges changed, so you can distinguish routine administration from attacker-driven expansion. 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.
