My team keeps falling for prompt injection attacks in our customer-facing bot. How can I patch these vulnerabilities today?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
My team keeps falling for prompt injection attacks in our customer-facing bot. How can I patch these vulnerabilities today?
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 mitigation least privilege human approval output validation 2025 Google ↗
OpenAI prompt injection mitigation tool safety structured outputs untrusted input documentation Google ↗
- Safety in building agents · developers.openai.com
- Prompt Injection · genai.owasp.org
- Model Spec (2025/09/12) · model-spec.openai.com
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
- 4. Enforce privilege control and least privilege access · owasp.org
- AI/LLM Application Security Testing and Red Teaming · owasp.github.io
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OWASP Top 10 for LLM Applications prompt injection mitigation least privilege human approval output validation 2025 OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
OpenAI prompt injection mitigation tool safety structured outputs untrusted input documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |