What are the security and privacy risks of building custom internal chatbots using off-the-shelf software tools today?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the security and privacy risks of building custom internal chatbots using off-the-shelf software tools 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
2026 enterprise internal AI chatbot security privacy risks prompt injection data leakage OWASP LLM Top 10 NIST AI RMF Google ↗
NIST Generative AI Profile data privacy information security prompt injection third party risks 2024 2025 Google ↗
- OWASP GenAI LLM Top 10 2026 · genai.owasp.org
- AI Agent Security · cheatsheetseries.owasp.org
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 enterprise internal AI chatbot security privacy risks prompt injection data leakage OWASP LLM Top 10 NIST AI RMF OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
NIST Generative AI Profile data privacy information security prompt injection third party risks 2024 2025 OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |