Quick question, what is the best way to stop prompt injection attacks when building customer facing bots with OpenAI today?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Quick question, what is the best way to stop prompt injection attacks when building customer facing bots with OpenAI 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). 1 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
site:platform.openai.com/docs prompt injection prevention agents safety untrusted text tool approvals OpenAI Google ↗
site:openai.com/index prompt injection agents security OpenAI recommendations Google ↗
- Safety in building agents · developers.openai.com
- Deep research · developers.openai.com
- Safety best practices · developers.openai.com
- A Practical Guide to Building AI Agents · openai.com
- Designing AI agents to resist prompt injection · openai.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
site:platform.openai.com/docs prompt injection prevention agents safety untrusted text tool approvals OpenAI OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
site:openai.com/index prompt injection agents security OpenAI recommendations OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |