About
This advanced forensic training teaches participants how to reconstruct automated security incidents using logs and related evidence. Learners examine traffic records, authentication events, request patterns, timestamps, IP information, and behavioral indicators to understand how an automated attack developed. Key Topics: Digital forensic fundamentals Web-server logs Application logs API logs Authentication logs Security-event logs Timestamp analysis IP correlation Request correlation Session analysis User-agent analysis Behavioral timelines Anomaly detection Attack reconstruction Evidence preservation Root-cause analysis Incident reporting Forensic documentation Practical Exercise: Participants analyze a simulated incident dataset, identify suspicious activity, correlate multiple events, reconstruct the timeline, and prepare a professional incident-analysis report.
You can also join this program via the mobile app. Go to the app
