Governance concepts used in evidence-led detection engineering.
5 resources
Set technical, legal, privacy, and operational boundaries for defensive deception before deployment so observation never becomes uncontrolled access, collection, or engagement.
Use detection metrics to answer operational and security questions with defined populations, denominators, time windows, and uncertainty instead of celebrating activity counts.
Govern exceptions, suppressions, and allowlists as expiring changes to detection scope, with evidence, ownership, review, and visible residual risk.
Retire detections when their claim, evidence, platform, or consumer need has ended, while preserving lineage and proving that no silent coverage gap remains.
Give detection content stable identity, ownership, evidence requirements, dependencies, tests, deployment state, consumer context, and lifecycle information so a rule can be operated rather ...
