Zero-Trust Retrieval for Enterprise AI & RAG Pipelines
Connecting enterprise documents to Large Language Models without granular access control is a major compliance risk. AgenixCore acts as the governed control plane between your internal data stores, vector indexes, and LLM endpoints—enforcing permission-aware retrieval, automated PII scrubbing, and complete audit visibility.
Where Enterprise RAG Pipelines Break Down
Why standard vector search and naive prompt templates fail enterprise security audits.
Unfiltered Vector Chunk Retrieval
Standard vector databases lack row-level enterprise security. An unauthorized employee query can retrieve restricted executive compensation or M&A chunks.
AgenixCore Defense: AgenixCore Identity-Aware Retrieval: Enforces user permissions and ACLs directly against vector index queries before similarity ranking.
Egress PII & Customer Data Leakage
Sensitive customer records, SSNs, and API secrets accidentally embedded in prompts pass straight to third-party model providers.
AgenixCore Defense: Real-Time Context Scrubbing: Detects, tokenizes, and masks sensitive entities locally before external API dispatch.
RAG Prompt Injection & Context Poisoning
Adversarial data inside retrieved internal documents tricks the LLM into ignoring system instructions or exfiltrating data.
AgenixCore Defense: Context Isolation & Guardrails: Sandboxes retrieved chunks and validates model output against hallucination and policy violation classifiers.
Unbounded Context Window Costs
Over-fetching large document chunks into 128k context windows causes explosive token bills without improving answer accuracy.
AgenixCore Defense: Semantic Deduplication & Caching: Strips redundant context tokens and serves identical semantic queries from sub-millisecond edge cache.
The Governed Retrieval Pipeline
How AgenixCore intercepts, sanitizes, and audits internal knowledge queries in real time.
User Authentication & ACL Check
Every user and agent request carries verified enterprise identity tokens (SAML, Okta, OAuth2).
Permission-Aware Vector Retrieval
Queries to Pinecone, Qdrant, Weaviate, or pgvector are pre-filtered by user clearance and department bounds.
DLP & Context Tokenization
Retrieved documents pass through an in-memory PII detector, masking sensitive entities prior to prompt assembly.
Governed Model Dispatch & Audit
Requests are dispatched to approved internal or frontier models, generating immutable compliance audit logs.
Audit Your RAG Architecture for Data Leakage.
Book an AI Operating Efficiency Audit to discover which internal documents, data stores, and PII elements are currently vulnerable in your AI workflows.