Reject embeddings that do not conform to expected model specifications (dimensions, format, etc).
Database / Vector / Controls / DEV
Enforce Dimensional and Format Constraints
CCC.Vector.CN06 · Ingestion
Related Capabilities
| ID | Title | Description |
|---|---|---|
| CCC.Vector.CP08 | Embedding Format Compatibility | Supports standard vector formats and integrates with common embedding generators (e.g., OpenAI, HuggingFace, TensorFlow). |
| CCC.Vector.CP09 | Vector Dimension Management | Supports storing and managing vectors of specific or dynamic dimensionality, depending on model needs. |
| CCC.Core.CP11 | Backup | The service can generate copies of its data or configurations in the form of automated backups, snapshot-based backups, or incremental backups. |
| CCC.Core.CP18 | Resource Versioning | The service automatically assigns versions to child resources which can be used to preserve, retrieve, and restore past iterations. |
Related Threats
| ID | Title | Description |
|---|---|---|
| CCC.Vector.TH05 | Embedding Format or Dimension Attacks | Poor validation of embedding formats or dimensions can cause service crashes or logic errors. This can result in denial of service or incorrect similarity results. |
| CCC.Core.TH06 | Data is Lost or Corrupted | Services that rely on accurate data are susceptible to disruption in the event of data loss or corruption. Any actions that lead to the unintended deletion, alteration, or limited access to data can impact the availability of the service and the system it is part of. |
Assessment Requirements
| ID | Text | Applicability |
|---|---|---|
| CCC.Vector.CN06.AR01 | When an embedding is submitted, the service MUST validate that its format and dimensionality match allowed profiles. | tlp-clear, tlp-green, tlp-amber, tlp-red |
Guideline Mappings
| Framework | ID | Remarks |
|---|---|---|
| FINOS-AIGF | AIR-PREV-002 | Data Filtering From External Knowledge Bases |