My boss wants me to look into handling prompt injection vulnerabilities in our new customer chatbot but I have no idea where to start.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
My boss wants me to look into handling prompt injection vulnerabilities in our new customer chatbot but I have no idea where to start.
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 Top 10 for LLM Applications prompt injection prevention guidance 2025 2026 Google ↗
NIST generative AI prompt injection risk mitigation guidance Google ↗
- www-project-top-10-for-large-language-model-applications/2_0_vulns/LLM01_PromptInjection.md at main · OWASP/www-project-top-10-for-large-language-model-applications · github.com
- LLM01:2025 Prompt Injection · genai.owasp.org
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
- OWASP Top 10 for · owasp.org
Queries
2 queries · click a column to sort