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Labs

Linux Endpoint Security: AI-Assisted Analysis Lab

This hands-on lab provides practical experience using a local LLM to analyse Linux endpoint telemetry, identify potential security anomalies, and validate findings. Learners will then evaluate AI-generated Bash remediation, safely apply approved changes, and verify the results.

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Lab platform
Lab Info
Level
Beginner
Last updated
Sep 24, 2026
Duration
45m

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Table of Contents
  1. Challenge

    Extract and sanitize Linux telemetry

    Before beginning the analysis, you’ll discover how to collect Linux endpoint telemetry and sanitize it for safe AI ingestion. Practice extracting process information, active network connections, and other endpoint data while identifying and removing sensitive information before sharing it with an AI tool.

  2. Challenge

    Prompt AI to detect anomalies within syslog, authlog, and journalctl

    You’ll explore how to use AI prompts to analyse Linux logs and identify potential security anomalies. Learn how to prepare and provide sanitized syslog, auth.log, and journalctl output to an AI assistant, create effective analysis prompts, and evaluate potential suspicious activity.

  3. Challenge

    Evaluate and safely apply AI generated bash scripts for threat remediation

    After identifying potential anomalies, you’ll evaluate AI-generated Bash scripts and safely apply appropriate remediation actions. Learn how to review AI generated commands for accuracy and potential impact, validate them before execution, and safely apply and verify remediation on a Linux endpoint.

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