PROGRAM MODULE · EN / ES · SEC5
Defensive automation
Create a local analyzer that does not touch real networks.
MODULE SYLLABUS
Lessons and objectives
Review the sequence before you start. Each link opens the corresponding lesson in the protected student guide; a verified account and active membership are required.
SEC5-1 · 4 h
Python log analysis
- Build a local synthetic-log summary with validation and separate input and output.
SEC5-2 · 4 h
Indicators and limits
- Evaluate a detection rule using false positives, misses and interpretation limits.
SEC5-3 · 4 h
Negative tests
- Design negative tests that reject invalid data and distinguish errors from empty results.
SEC5-4 · 4 h
Result verification
- Verify results using independent calculation, repetition and version records.
PREPARATION
Before you begin
Functional reading, basic arithmetic and file management. Complete an entry diagnostic.
This module follows Response and recovery. Review the earlier material if you need to strengthen the foundations.
Read the explanations and examples before practicing. Keep your results and limitations in your own file: these pages do not automatically record attendance, progress or grades.
STUDENT MATERIALS
Continue to guided learning
This syllabus is public. Full explanations, exercises, downloads and simulators retain Academy access controls: an active verified account, active membership and the appropriate permissions. Cohort enrollment is not open.