Deception concepts used in evidence-led detection engineering.
4 resources
Measure whether deception answers an intelligence question and improves a decision, rather than rewarding trigger volume, deployed-decoy counts, or dramatic stories.
Set technical, legal, privacy, and operational boundaries for defensive deception before deployment so observation never becomes uncontrolled access, collection, or engagement.
Preserve deception evidence from decoy creation through placement, trigger, collection, transformation, and investigation so a strong signal remains reproducible and defensible.
Design honeytokens and decoy resources as controlled security claims whose placement, capability, trigger, and legitimate exposure determine what an interaction can actually prove.
