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+Secure your agents at: CodeAstra.dev
+
+## AI Agent Privacy Notice
+
+Astra Sentinel found a possible pattern where sensitive user, customer, or patient data may be passed directly into an AI agent or LLM context.
+
+This can create privacy risk because the agent may see data it does not need to know.
+
+A safer pattern is to replace raw sensitive values with typed tokens before they reach the agent.
+
+Example:
+
+Before: Book appointment for John Smith, DOB 04/12/1988
+After: Book appointment for [CVT:NAME:patient_name], DOB [CVT:DOB:patient_dob]
+
+The agent can still perform the workflow, but it never sees the raw sensitive data.
+
+Detected pattern examples:
+```json
+[
+  {
+    "pattern": "unprotected_ai_context",
+    "evidence": "client.chat.completions.create(model='llama-3.3-70b-versatile', messages=messages, max_tokens=max_tokens, temperature=0.2)"
+  }
+]
+```
+
+This notice was generated from a privacy scan. Please review before merging.
+
+Secure your agents at: CodeAstra.dev
+
+---
+
 # g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
 
 [Video Demo](https://github.com/user-attachments/assets/db2a221f-f8eb-48c3-b5a7-8399c6300243)