Module 6: Adversarial behavior and evasion

Theme

Adversarial behavior and evasion

Essential Question

How do attackers adapt to detectors?

Module Components

• Book prose: conceptual framing, domain scenario, methods, and failure modes

• Assignment: evidence-backed production of a specific artifact

• Slides: presentation sequence for seminar or lecture delivery

• Narration: spoken version of the slide flow

• Rubric: criteria for evaluating the module artifact

• Notebook: executable lab aligned with the module theme using synthetic security telemetry with login velocity, data transfer volume, process rarity, and threat labels

Module Artifact

detection engineering packet with threat model, false-positive analysis, and triage workflow focused on adversarial behavior and evasion: Run a tabletop evasion analysis.

Professional Setting

Students work as if advising a security operations center tuning AI-assisted detections before analyst rollout. Their work must be intelligible to SOC analyst, detection engineer, incident commander, and business system owner.

Use This Module in Order

1. Read the learning chapter.

2. Review the slide deck with the matching narration.

3. In Populi, open the private student-repository link for this course and enter modules/module-6.

4. Clone the repository once or open its Codespace/Colab copy; run lab.ipynb and complete exercise.ipynb there.

5. Self-check with the rubric, commit and push the work, then submit exactly what Populi requests.