eTrepid Governed AI Prompt & Output Isolation Architecture

Governing Standard: NIST AI RMF / FedRAMP Cloud Controls

1. System Objective

This standard defines the technical architecture that guarantees prompt confidentiality, context isolation, and non-cross-contamination when eTrepid AI systems process client technical documentation and compliance evidence.

2. Technical Enclave Isolation Architecture

flowchart LR

subgraph ClientA ["Client A Session"]

PA["Client A Prompt + Context"] --> EA["Single-Tenant Memory Enclave A"]

EA --> OA["Deliverable A"]

end

subgraph ClientB ["Client B Session"]

PB["Client B Prompt + Context"] --> EB["Single-Tenant Memory Enclave B"]

EB --> OB["Deliverable B"]

end

EA <-. HARD MEMORY WALL (NO CROSS-CONTEXT LEAKAGE) .-> EB

2.1 Single-Tenant Vector Namespacing

Where Retrieval-Augmented Generation (RAG) is utilized for client compliance analysis, document embeddings are segmented into cryptographically separated namespaces. Queries originating from Client A can never search, index, or retrieve vectors belonging to Client B.

2.2 Ephemeral Context Lifecycles

Prompt context buffers are destroyed immediately upon completion of the inference session. Session tokens are non-persistent, preventing cached context leaks across subsequent requests.

2.3 Automated Redaction & Sanitization

Prior to forwarding queries to foundation models, prompt pipelines execute automated data loss prevention (DLP) filters that detect and redact unapproved personally identifiable information (PII) or unencrypted credentials.