Stack Beacon monitors vector stores for poisoning, drift, and unauthorized access — closing the blind spot every RAG application carries by default.
Most teams treat their vector DB as a black box. Attackers don't.
Statistical and semantic anomaly detection for adversarial embeddings injected into retrieval corpora.
Distribution shift alerts when embedding model upgrades silently corrupt retrieval quality.
Who queried what, with what filter, returning what chunks. Full forensic timeline for every retrieval.
Auto-classify embeddings against your data taxonomy — block retrieval of sensitive content for unauthorized callers.
Pre-flight checks before reembedding: detect content drift, missing source docs, and chunker regressions.
Verify tenant boundary enforcement at the index level — catch cross-tenant leaks the platform missed.
Straightforward answers about scope, integration, data handling, and rollout.
Pinecone, Weaviate, pgvector, Chroma, Qdrant, Milvus, OpenSearch k-NN, and Vespa. SDK available for custom stores.
Three-layer: statistical outlier detection on embedding distributions, semantic clustering for adversarial content, and lineage checks against source documents.
No. Read-only monitoring is the default. Optional remediation hooks require explicit policy grants.
Tested at 50M-vector indexes with sub-second alert latency. Sampled scanning for billion-vector deployments.