Can you outline a secure architecture for connecting an internal enterprise knowledge base to an LLM via retrieval augmented generation without leaking PII?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you outline a secure architecture for connecting an internal enterprise knowledge base to an LLM via retrieval augmented generation without leaking PII?
3 real searches · 1 real-search pass
OWASP Top 10 for LLM Applications 2025 RAG data leakage prompt injection sensitive information disclosure officialGoogle ↗
OBSERVEDReason
NIST AI Risk Management Framework Generative AI Profile privacy data protection retrieval augmented generation officialGoogle ↗
OBSERVEDOther / navigational
Microsoft guidance secure RAG architecture document-level access control vector search enterprise identityGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
OWASP Top 10 for LLM Applications 2025 RAG data leakage prompt injection sensitive information disclosure official Google ↗
NIST AI Risk Management Framework Generative AI Profile privacy data protection retrieval augmented generation official Google ↗
Microsoft guidance secure RAG architecture document-level access control vector search enterprise identity Google ↗
- Design a Secure Multitenant RAG Inferencing Solution - Azure Architecture Center · learn.microsoft.com
- Best Practices for Security - Azure AI Search · learn.microsoft.com
- Propagating SharePoint Document Permissions to AI Search and RAG Pipelines · devblogs.microsoft.com
- RAG Security · cheatsheetseries.owasp.org
- LLM02 2025 Sensitive Information Disclosure · owasp.org
- OWASP LLM07: 2025 System Prompt Leakage · genai.owasp.org
- LLMRisks Archive · genai.owasp.org
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OWASP Top 10 for LLM Applications 2025 RAG data leakage prompt injection sensitive information disclosure official OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
NIST AI Risk Management Framework Generative AI Profile privacy data protection retrieval augmented generation official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Microsoft guidance secure RAG architecture document-level access control vector search enterprise identity OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |