Real ChatGPT answer · index seedbmChSEV2NNccompleteB2B software · AI and automation toolsinformational
What are the standard security and privacy considerations I should keep in mind if I want to build a custom internal chatbot that reads our company handbook?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the standard security and privacy considerations I should keep in mind if I want to build a custom internal chatbot that reads our company handbook?
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
OWASP Top 10 for LLM Applications prompt injection sensitive information disclosure RAG security official Google ↗
NIST AI Risk Management Framework generative AI profile data privacy access control official Google ↗
- OWASP Top 10 for Large Language Model Applications · owasp.github.io
- RAG Security · cheatsheetseries.owasp.org
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
- AI Risk Management Framework · nist.gov
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OWASP Top 10 for LLM Applications prompt injection sensitive information disclosure RAG security official OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
NIST AI Risk Management Framework generative AI profile data privacy access control official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |