The service may be configured to build indexes optimized for similarity search, such as HNSW, IVF, or product-quantized structures, with user-selected algorithm and tuning parameters.
Vector Indexing
CCC.Vector.CP02
Related Threats
| ID | Title | Description |
|---|---|---|
| CCC.Vector.TH02 | Index is Poisoned by Crafted Embeddings or Content | Vectors or source content submitted through ingestion endpoints, pulled from connected data sources, or vectorized by an integrated embedding model may be crafted so that they rank highly for targeted queries. Search results are steered toward chosen records or degraded for legitimate ones, and downstream applications consume the manipulated results. Integrity of the index and of every system that relies on it is compromised. |
| CCC.Vector.TH04 | Queries are Served from a Replaced or Stale Index | The index behind a query endpoint or alias may be swapped, redeployed, or re-pointed by an identity with excess permissions, or rebuilt from a stale or poisoned source. Queries are answered from an index whose contents were not reviewed, and the change is not visible to consuming applications. Integrity and availability of search results are compromised. |
| CCC.Vector.TH06 | Search Results are Manipulated via Approximate Search Error | Approximate nearest neighbor algorithms trade recall for speed and return results that vary with index structure and tuning parameters. Vectors may be positioned so that they are omitted from, or injected into, the approximate result set while an exact search would rank them differently, allowing records to evade similarity-based detection or to bias generated responses. Integrity of search results is compromised. |