AI Training Practices
Training on Personal Data
Unclear
Training on User Interactions
Unclear
Training on Public Content
No
AI Data Sharing
Unclear
AI Use Cases
- Fraud Detection — To monitor and prevent fraud, money laundering, or other prohibited or illegal activities.
- Personalization — To personalize your experience when you use Services, and to personalize content and ads.
- Recommendation — To display or deliver interest-based ads.
- Other — To analyze, improve and optimize Services and to understand traffic patterns and operations on our digital platforms.
Risk Assessment
The extremely low deterministic score (0/70) is a major red flag, suggesting that despite a comprehensive policy and support for major privacy regulations, the company's actual privacy practices may be severely deficient. This poses a high risk to sensitive financial and personal data, especially given data sharing with social media platforms for marketing purposes.
Recommended Actions
- Exercise extreme caution when sharing sensitive financial and personal data with MoneyGram.
- Be vigilant about potential data misuse or inadequate protection, especially given the low privacy score.
- Consider using alternative services with stronger, verified privacy practices for financial transactions.
- If you must use MoneyGram, regularly review your account settings and be aware of your data rights, though their effectiveness may be limited.
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.