Technical record 03 / System
Grabbit — API Key Intelligence
A credential-intelligence system for identifying and analysing exposed API credentials within configured sources.
Record metadata
| Record | 03 / 16 |
|---|---|
| Classification | System |
| Development status | Implementation status not established in the published brief. |
| System scope | API Key Intelligence |
| Related disciplines | Cybersecurity Engineering · Digital Intelligence · Software Architecture |
Problem domain
Large source collections can contain credential-like material that requires careful classification, deduplication and controlled handling.
Engineering objectives
- Make source ingestion and scan lifecycle auditable.
- Assess candidate findings with confidence context.
- Minimize exposure by masking findings and deduplicating fingerprints.
Conceptual architecture
Configured sources feed a scan orchestrator. Candidate material is classified and assessed, then normalized into masked, deduplicated findings with provenance and lifecycle records.
Sources
- Configured sources
- Scope record
- Scan queue
Analysis
- Candidate intake
- Credential-family classification
- Confidence review
Findings
- Fingerprint deduplication
- Masked result
- Audit lifecycle
Processing / execution lifecycle
- Configured source ingestion
- Scan orchestration
- Candidate classification
- Confidence assessment
- Fingerprint deduplication
- Masked finding and audit record
Technical principles
- Least exposure of sensitive material
- Provenance retained with findings
- Confidence distinct from certainty
- Auditable scan lifecycle
Operational considerations
Source scope, scan state, repeat processing and finding lifecycle should be visible to authorized maintainers. Duplicate candidates should not inflate the apparent finding set.
Security, reliability & disclosure
Detection signatures, credential material and private scanning logic are deliberately omitted.
Related engineering disciplines