Real ChatGPT answer · index seedHYrFzyuK7V8completeB2B software · AI and automation toolsinformational
As someone learning about modern technology in my retirement, can you explain how companies build custom internal chatbots without leaking sensitive corporate data?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
As someone learning about modern technology in my retirement, can you explain how companies build custom internal chatbots without leaking sensitive corporate data?
1 real search · 1 real-search pass
enterprise internal AI chatbot data security retrieval augmented generation access controls tenant isolation encryption prompt injection best practices NIST OWASP MicrosoftGoogle ↗
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 (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
enterprise internal AI chatbot data security retrieval augmented generation access controls tenant isolation encryption prompt injection best practices NIST OWASP Microsoft Google ↗
- RAG Security · cheatsheetseries.owasp.org
- Design a Secure Multitenant RAG Inferencing Solution - Azure Architecture Center · learn.microsoft.com
- 2. Prompt Injection (Direct / Indirect) · learn.microsoft.com
- 4. Input, Context, and Retrieval Hygiene · learn.microsoft.com
- IR 8579, Developing the NCCoE Chatbot: Technical and Security Learnings from the Initial Implementation · csrc.nist.gov
Queries
1 queries · click a column to sort