AI Training Practices
Training on Personal Data
Unclear
Training on User Interactions
Unclear
Training on Public Content
Unclear
AI Data Sharing
Unclear
AI Use Cases
- Recommendation — To recommend AWS Offerings that might be of interest to the user.
- Personalization — To identify user preferences and personalize the experience with AWS Offerings.
- Fraud Detection — To prevent and detect fraud and abuse.
- Automated Decision Making — To assess and manage credit risks using scoring methods.
- Other — Targeted advertising based on collected information.
Risk Assessment
AWS demonstrates robust privacy practices, supporting major global regulations like GDPR and CCPA. They provide clear mechanisms for users to exercise their data rights and explicitly state they do not sell personal information, minimizing data sharing with third parties. No recent data breaches further enhance their security posture.
Recommended Actions
- AWS customers should regularly review and configure privacy settings within their AWS console to manage data.
- Utilize the provided data request form or contact support for any data access, correction, or deletion requests.
- Stay informed about any updates to their comprehensive privacy policy, especially concerning new services or features.
AI Overview
Trains on user dataNo
Trains on interactionsNo
Opt-out availableNo
AI disclosureYes
Third-party AIYes
AI Training Opt-Out
No opt-out mechanism available.