Real ChatGPT answer · index seedGQSNs1Kts3scompleteB2B software · AI and automation toolsinformational
How do we prevent employees from leaking trade secrets when using public LLM interfaces compared to a properly configured enterprise subscription?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do we prevent employees from leaking trade secrets when using public LLM interfaces compared to a properly configured enterprise subscription?
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
OpenAI enterprise privacy data not used to train models retention admin controls audit logs official Google ↗
NIST generative AI data leakage organizational controls sensitive information public AI services guidance Google ↗
- Data governance and compliance - Resource · academy.openai.com
- Enterprise privacy at OpenAI · openai.com
- OpenAI Compliance Platform for Enterprise and Edu customers · help.openai.com
- 7. Sensitive Information Disclosure (Data Leak) · learn.microsoft.com
- Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile · nvlpubs.nist.gov
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI enterprise privacy data not used to train models retention admin controls audit logs official OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
NIST generative AI data leakage organizational controls sensitive information public AI services guidance OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |