What do developers say are the biggest security risks when deploying a custom internal chatbot for HR questions in a remote company?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What do developers say are the biggest security risks when deploying a custom internal chatbot for HR questions in a remote company?
3 real searches · 1 real-search pass
developer discussions security risks internal HR chatbot employee data prompt injection access control data leakage RAGGoogle ↗
OBSERVEDConsequence
OWASP Top 10 for LLM applications prompt injection sensitive information disclosure excessive agency vector embeddingsGoogle ↗
OBSERVEDComparison
Reddit developers internal company chatbot HR data security access control prompt injectionGoogle ↗
OBSERVEDYes / no
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 (3)
Classes come from the query-classifier (a local Laya model). 2 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
developer discussions security risks internal HR chatbot employee data prompt injection access control data leakage RAG Google ↗
OWASP Top 10 for LLM applications prompt injection sensitive information disclosure excessive agency vector embeddings Google ↗
Reddit developers internal company chatbot HR data security access control prompt injection Google ↗
- GitHub - GenAI-Security-Project/GenAI-LLM-Top10: OWASP Top 10 for Large Language Model Applications · github.com
- OWASP Top 10 for Large Language Model Applications · owasp.github.io
- How to Secure RAG Workflows · okta.com
- CISO’s guide to RAG data security risks and protection strategies · techtarget.com
- IR 8579, Developing the NCCoE Chatbot: Technical and Security Learnings from the Initial Implementation · csrc.nist.gov
- AI/LLM Application Security Testing and Red Teaming · owasp.github.io
- LLMRisks Archive · genai.owasp.org
- Mapping to OWASP top 10 for LLM applications · docs.aws.amazon.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
developer discussions security risks internal HR chatbot employee data prompt injection access control data leakage RAG OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
OWASP Top 10 for LLM applications prompt injection sensitive information disclosure excessive agency vector embeddings OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Reddit developers internal company chatbot HR data security access control prompt injection OBSERVED | Google ↗ AI Mode ↗ | — | Yes / no | — | — | 1x of 1 |