What are the most common prompt injection vulnerabilities that hackers exploit in business automation tools and how do we patch them?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the most common prompt injection vulnerabilities that hackers exploit in business automation tools and how do we patch them?
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 indirect prompt injection excessive agency sensitive information disclosure business automation Google ↗
NIST generative AI prompt injection cybersecurity guidance indirect prompt injection agents tool permissions Google ↗
- Prompt Injection · genai.owasp.org
- LLM01:2025 Prompt Injection · genai.owasp.org
- Indirect Prompt Injection, Technique T1698 - Enterprise · attack.mitre.org
- LLM06:2025 Excessive Agency · genai.owasp.org
- LLM08: Excessive Agency · genai.owasp.org
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OWASP LLM prompt injection prevention indirect prompt injection excessive agency sensitive information disclosure business automation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
NIST generative AI prompt injection cybersecurity guidance indirect prompt injection agents tool permissions OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |