Module 8: Threat detection portfolio#
Theme#
Threat detection portfolio
Essential Question#
What evidence supports deployment?
Module Components#
Book prose: conceptual framing, domain scenario, methods, and failure modesAssignment: evidence-backed production of a specific artifactSlides: presentation sequence for seminar or lecture deliveryNarration: spoken version of the slide flowRubric: criteria for evaluating the module artifactNotebook: 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 threat detection portfolio: Deliver a detection package and monitoring plan.
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#
Review the slide deck with the matching narration.
In Populi, open the private student-repository link for this course and enter
modules/module-8.Clone the repository once or open its Codespace/Colab copy; run
lab.ipynband completeexercise.ipynbthere.Self-check with the rubric, commit and push the work, then submit exactly what Populi requests.