What is the fastest way to build a secure internal chatbot connected to our SQL database without exposing customer PII to prompt injection attacks
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the fastest way to build a secure internal chatbot connected to our SQL database without exposing customer PII to prompt injection attacks
1 real search · 1 real-search pass
OWASP Top 10 for LLM Applications prompt injection excessive agency sensitive information disclosure official guidance database access controlsGoogle ↗
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
OWASP Top 10 for LLM Applications prompt injection excessive agency sensitive information disclosure official guidance database access controls Google ↗
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
- GitHub - GenAI-Security-Project/GenAI-LLM-Top10: OWASP Top 10 for Large Language Model Applications · github.com
- www-project-top-10-for-large-language-model-applications/2_0_vulns/LLM06_ExcessiveAgency.md at main · OWASP/www-project-top-10-for-large-language-model-applications · github.com
- AI/LLM Application Security Testing and Red Teaming · owasp.github.io
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
- Mapping to OWASP top 10 for LLM applications · docs.aws.amazon.com