What is the most secure way to set up LangChain agents for an internal HR knowledge base without risking sensitive employee data leaks?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the most secure way to set up LangChain agents for an internal HR knowledge base without risking sensitive employee data leaks?
3 real searches · 1 real-search pass
LangChain security documentation agents tool permissions human in the loop prompt injection retrieval access controlGoogle ↗
OBSERVEDReason
OWASP Top 10 for LLM Applications prompt injection sensitive information disclosure excessive agency officialGoogle ↗
OBSERVEDConsequence
Microsoft Azure AI RAG security document-level access control identity propagation officialGoogle ↗
OBSERVEDOther / navigational
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
LangChain security documentation agents tool permissions human in the loop prompt injection retrieval access control Google ↗
OWASP Top 10 for LLM Applications prompt injection sensitive information disclosure excessive agency official Google ↗
Microsoft Azure AI RAG security document-level access control identity propagation official Google ↗
- Securing your agents with authentication and authorization · langchain.com
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
- OWASP Top 10 for Large Language Model Applications · owasp.github.io
- RAG Security · cheatsheetseries.owasp.org
- docs/src/oss/langchain/guardrails.mdx at main · langchain-ai/docs · github.com
- docs/src/oss/langchain/middleware/built-in.mdx at main · langchain-ai/docs · github.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
LangChain security documentation agents tool permissions human in the loop prompt injection retrieval access control OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
OWASP Top 10 for LLM Applications prompt injection sensitive information disclosure excessive agency official OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
Microsoft Azure AI RAG security document-level access control identity propagation official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |