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[LESSON] 01.2 Detection as an Engineering Discipline #35

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Description

@mndtrcks

Lesson

Module: 01 Detection Engineering Foundations

Lesson: 2. Detection as an Engineering Discipline

Target file: core/01-detection-engineering-foundations/02-detection-as-an-engineering-discipline.md

Research issue: #10

Scope

Copied from the module README, which is the source of truth. If the scope needs to change while writing, change the README in the same pull request and say why.

Learning Objectives

  • Describe a detection as a system of inputs, processing, outputs, and dependencies.
  • Apply the definition of engineering to detection work, and identify the phases teams often skip.

Key Topics

  • A detection is not just a query: inputs, processing, outputs, and dependencies
  • Where detection logic runs: SIEM, EDR, etc.
  • Engineering as a systematic, disciplined, quantifiable approach (IEEE / SWEBOK)
  • Mapping detection work to software engineering knowledge areas
  • Why skipping engineering phases leads to poor detections
  • Analyst trust as the outcome of engineering

Out of Scope

  • The detection lifecycle
  • Log sources, collection, parsing, and pipelines

Goal of This Issue

Write the lesson. The lesson is complete when a pull request is merged that:

  • adds the target file, based on templates/lesson-template.md and written to the Style Guide
  • meets each learning objective above and stays out of the out-of-scope topics, pointing to the lesson or module that covers them instead
  • passes the checklist for authors
  • links the lesson from the module README's lesson list
  • updates the module's ai_assistance field and README AI Assistance section to cover this lesson

The module's status stays draft. Technical review happens at the module level once its lessons are written (Review Process).

How to Participate

  • Claim: comment on this issue to take it. A maintainer will assign you and add you to the Contributors section below. One writer leads each lesson; others are welcome to contribute.
  • Collaborate: open a draft pull request early and link this issue. To let co-contributors push to your branch, add them as collaborators on your fork (fork Settings → Collaborators). Every commit must be signed off (DCO).
  • Boundaries: if the lesson starts covering material owned by another lesson or module, raise it here or in the pull request rather than expanding the scope.
  • Inactivity: claims with no activity for 4 weeks may be released after a reminder.

Contributors

Writer:

Contributors:

Additional Context

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