Episode 113: Data and Log Analysis During an Incident

Raw data becomes actionable intelligence when it’s properly analyzed. In this episode, we focus on the data and log analysis process during an incident, explaining how analysts sift through event logs, network traffic, system alerts, and application telemetry to reconstruct what happened. You’ll learn how to use timeline creation, correlation engines, and pivoting techniques to identify patient zero, trace lateral movement, and evaluate scope.

We also discuss common log sources such as firewalls, proxy servers, authentication systems, and EDR tools, and how to detect when logs have been altered or deleted. This episode reinforces the investigative mindset analysts must develop and helps you approach exam scenarios with confidence. It’s not just about having the data—it’s about knowing what questions to ask when it arrives. Brought to you by BareMetalCyber.com