AI Output Sensitive Disclosure
Marks AI-generated output context (responses, generated files, chat exports) so existing PII/secret SITs can be re-scoped to it. Detection of the sensitive data itself is delegated to those SITs via the ai-threat-classifiers collection; this pattern supplies the AI-output context signal.
- Type
- keyword_list
- Confidence
- low
- Confidence justification
- Low by design. This pattern only asserts AI-output context, not the presence of sensitive data; the sensitive-data verdict is delegated to existing PII/secret SITs re-scoped via the collection. AI-output phrasing also appears around approved reporting, internal analytics and synthetic datasets (the named FP traps), so the context signal alone is necessary-not-sufficient.
- Jurisdictions
- global
- Regulations
- OWASP LLM Top 10 2025, NIST AI RMF GenAI Profile
- Frameworks
- ISO 27001
- Data categories
- emerging, security
- Risk rating
- 6
Pattern
(?i)\b(?:AI (?:response|output)|generated (?:by (?:AI|copilot)|response|report)|copilot (?:said|generated)|model output)\bCorroborative evidence keywords
response, output, generated, export, AI, artificial intelligence, LLM, large language model, Copilot, chatbot, assistant, agent, prompt, system prompt, tool call, completion, model
Proximity: 300 characters
Should match
The following is the AI response generated by Copilot for the customer query.— AI-output context marker (sensitive data detection delegated to PII SITs)
Should not match
The quarterly board report was finalised yesterday.— Human-authored content, no AI-output context