Real ChatGPT answer · index seedeyDVDKd2u50completeB2B software · AI and automation toolsinformational
How do enterprise security teams evaluate whether an AI service provider retains confidential company data for future model training?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do enterprise security teams evaluate whether an AI service provider retains confidential company data for future model training?
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
enterprise AI provider customer data not used to train models contractual commitments retention NIST AI data governance guidance Google ↗
NIST AI Risk Management Framework data privacy data governance third party AI service providers training data retention Google ↗
- 41 · airc.nist.gov
- Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile · nvlpubs.nist.gov
- Govern · airc.nist.gov
- Offering Zero Data Retention for frontier models · openai.com
- Data controls in the OpenAI platform · developers.openai.com
- API and data retention · platform.claude.com
- AI Companies: Uphold Your Privacy and Confidentiality Commitments · ftc.gov
- AICMv1.1 Implementation Guidelines for AI Customers (AIC) · cloudsecurityalliance.org
- AICMv1.1 Auditing Guidelines for AI Customers (AIC) · cloudsecurityalliance.org
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
enterprise AI provider customer data not used to train models contractual commitments retention NIST AI data governance guidance OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
NIST AI Risk Management Framework data privacy data governance third party AI service providers training data retention OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |