Real ChatGPT answer · index seedjmJykoFDQV8completeB2B software · AI and automation toolsinformational
How do I protect against prompt injection vulnerabilities in customer support widgets powered by large language models?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I protect against prompt injection vulnerabilities in customer support widgets powered by large language models?
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 LLM prompt injection prevention guidance least privilege tool access RAG output validation Google ↗
NIST AI Risk Management Framework generative AI profile prompt injection security Google ↗
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
- LLM01:2025 Prompt Injection · genai.owasp.org
- RAG Security · cheatsheetseries.owasp.org
- OWASP LLM05: 2025 Improper Output Handling · genai.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 LLM prompt injection prevention guidance least privilege tool access RAG output validation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
NIST AI Risk Management Framework generative AI profile prompt injection security OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |