What is the fastest way to write secure SQL queries using a custom GPT without exposing our entire customer database?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the fastest way to write secure SQL queries using a custom GPT without exposing our entire customer database?
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 SQL Injection Prevention Cheat Sheet parameterized queries least privilege read only database role Google ↗
OpenAI business data privacy API data not used to train models custom GPT knowledge files data controls Google ↗
- SQL Injection Prevention · cheatsheetseries.owasp.org
- Database Security · cheatsheetseries.owasp.org
- Business data privacy, security, and compliance · openai.com
- Data controls in the OpenAI platform · developers.openai.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OWASP SQL Injection Prevention Cheat Sheet parameterized queries least privilege read only database role OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
OpenAI business data privacy API data not used to train models custom GPT knowledge files data controls OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |