Validate the full detection path: required telemetry, analytic logic, representative positive and benign test cases, expected output, escalation behaviour and failure conditions. Retain the detection version, test date, test case, result, reviewer and unresolved gaps so later coverage claims can be traced to evidence rather than memory.
External reference
ATT&CK Detection Strategies organise detection approaches around adversary behaviours; implementation still depends on platform-specific analytics and telemetry.
https://attack.mitre.org/detectionstrategies/Detection engineering workflow
Validate prerequisites
Confirm required sources, fields, identities, timestamps and enrichment are actually available.
Define expected behaviour
State what activity should generate the signal, what should not, and what output or incident-routing behaviour is expected.
Run representative tests
Use approved test data or simulations appropriate to the environment and retain the result.
Record negative and edge cases
Test known benign patterns, missing fields, duplicate events and delayed telemetry where relevant.
Version and review
Tie test evidence to the detection version and repeat validation after material logic or telemetry changes.
Relevant Cybatar operating surfaces
Claim boundary
Passing a test does not prove that every real attack will be detected. Test quality depends on the scenario, telemetry, implementation and representativeness of the environment.
These pages are Cybatar-authored detection-engineering guidance. External taxonomies and standards are referenced for context; the mappings are not official MITRE, NIST or vendor validations, certifications, endorsements or statements that a particular deployment will detect a technique.