Sift
AI-Powered Fraud Decisioning.
Overview
Sift's platform uses machine learning to provide real-time fraud detection, helping businesses to reduce chargebacks, prevent account takeovers, and streamline user experiences. It analyzes thousands of signals to identify fraudulent behavior and patterns.
✨ Key Features
- Account Takeover Prevention
- Payment Fraud Prevention
- Content Abuse Prevention
- Chargeback Management
- Dispute Management
🎯 Key Differentiators
- Global data network of 70 billion events per month.
- Real-time machine learning models.
- Unified platform for various fraud types.
Unique Value: Provides a holistic view of fraud across the entire user journey, from account creation to checkout, enabling businesses to make more accurate decisions.
🎯 Use Cases (3)
✅ Best For
- Reducing chargeback rates for online retailers.
- Securing user accounts from unauthorized access.
- Automating fraud detection to reduce manual review.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Offline fraud detection
🏆 Alternatives
Offers a more integrated and comprehensive solution compared to point solutions that only address specific types of fraud.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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