AI Shadow / External AI Data Share

Marks the context of data being submitted to external / unapproved AI services (shadow AI destination domains) 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 external-AI destination context signal.

Type
regex
Confidence
low
Confidence justification
Low by design. This pattern only asserts an external-AI destination context, not the presence of sensitive data; the sensitive-data verdict is delegated to existing PII/secret SITs re-scoped via the collection. The domain allow-list will diverge per tenant (approved vendor AI tools and internal AI gateways are the named FP traps), so the context signal alone is necessary-not-sufficient.
Jurisdictions
global
Regulations
Privacy Act 1988 (Cth), Information Privacy Act 2009 (Qld), GDPR
Frameworks
ISO 27001, OWASP LLM Top 10 2025, NIST AI RMF GenAI Profile
Data categories
emerging, security
Risk rating
7
Platform compatibility
Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported

Pattern

(?i)\b(?:chatgpt\.com|chat\.openai\.com|claude\.ai|gemini\.google\.com|perplexity\.ai|copilot\.microsoft\.com)\b

Corroborative evidence keywords

paste, upload, share, submit, [object Object], artificial intelligence, [object Object], large language model, Copilot, chatbot, assistant, agent, prompt, system prompt, tool call, completion, model

Proximity: 300 characters

Should match

Should not match

Known false positives

References

Collections