Harmonic Security

GRD-010 · formerly DAT-007

Support granular custom detections

.md .json

Acceptance criteria

Let authorized teams maintain custom keywords, client and project identifiers and deal codenames, with an audit trail.

Why it matters

Built-in models cannot know your client names, project codes or deal codenames.

How to verify

An authorized user adds a project codename and it is detected in the next pilot prompt, with the change audited.

OWASP adoption context

Customer, project and deal vocabulary can appear across the listed employee AI settings, so custom detections should follow that vocabulary rather than one product.

Framework mappings

  • The audit trail of custom-detection changes supplies AI event-record evidence. It does not establish complete logging coverage, retention or record protection.

  • Custom detections tailor leakage rules to company information, while their audit trail records administrative changes. Detection still needs a protective disposition, and the trail alone does not demonstrate change testing and approval. ISO/IEC 27001: A.8.15: Keep attributable records with appropriate retention, protection and analysis; a live view alone is insufficient. A.8.12: Use an operated leakage-protection workflow with defined alert triage, warnings, blocking or another protective response. Enforce authorization; keywords cannot replace a complete information inventory or semantic detection.

  • Custom client, project and codename detections configure a specific sensitive-data signal for protecting AI submissions. Use those detections in an operated leakage-protection workflow; a detector vocabulary is not an inventory of data holdings.