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.
Index is Poisoned by Crafted Embeddings or Content
CCC.Vector.TH02
Related Capabilities
| ID | Title | Description |
|---|---|---|
| CCC.Vector.CP02 | Vector Indexing | 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. |
| CCC.Vector.CP13 | Integrated Embedding Generation | The service may be configured to call an embedding model to vectorize content at ingestion or query time, so that raw text or media is sent to a model endpoint instead of pre-computed vectors. |
| CCC.Core.CP29 | Active Ingestion | While running, the service itself can fetch or reach out to some other service or external source to get data, inputs or commands for the service to process or operate on. |
| CCC.Core.CP30 | Passive Ingestion | While running, the service can pause, idle or wait to receive inputs, commands, or data from some other service or external source for the service to process or operate on. |
Related Controls
| ID | Title | Description |
|---|---|---|
| CCC.Vector.CN01 | Validate Embeddings Before Indexing | Ensure all incoming embeddings are structurally and numerically validated before indexing to prevent poisoning or corruption. |