What is the best approach to securely pass dynamic user context from our web app into a deployed custom internal chatbot interface?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best approach to securely pass dynamic user context from our web app into a deployed custom internal chatbot interface?
1 real search · 1 real-search pass
OWASP API Security authorization object level authorization cheat sheet JWT token security best practices server side session context injectionGoogle ↗
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 API Security authorization object level authorization cheat sheet JWT token security best practices server side session context injection Google ↗
- Authorization · cheatsheetseries.owasp.org
- Authorization Patterns · cheatsheetseries.owasp.org
- REST Security · cheatsheetseries.owasp.org
- Authentication Patterns · cheatsheetseries.owasp.org
- A Practical Guide for Secure · genai.owasp.org