About:
Sift is a comprehensive fraud prevention platform that uses machine learning and artificial intelligence to help businesses detect and prevent fraudulent activities in real-time. Companies use Sift to streamline their fraud detection processes, reduce manual reviews, and improve the overall customer experience. Sift's technology analyzes user behavior and transactions across a global data network, allowing businesses to make informed decisions about potential fraud risks. By leveraging Sift's platform, companies can confidently grow their business while minimizing losses from fraud and abuse.
Best fit for:
Employee Count: 100-10,000+
Location: Global, with a focus on North America and Europe
Industries: E-commerce, Financial Services, Travel, Food Delivery, Digital Goods, Marketplaces
Job Titles: Chief Information Security Officer, Head of Fraud Prevention, VP of Risk Management, Director of Trust and Safety, Chief Technology Officer
Key Features:
- Machine Learning Fraud Detection: Analyzes user behavior and transactions to identify potential fraud in real-time.
- Global Data Network: Leverages data from 70 billion events per month to improve fraud detection accuracy.
- Customizable Rules Engine: Allows businesses to create and implement custom fraud prevention rules.
- User-friendly Console: Provides intuitive interface for investigating and managing potential fraud cases.
- API Integration: Seamlessly integrates with existing systems and workflows for efficient fraud prevention.
- Real-time Risk Scoring: Assigns risk scores to users and transactions for quick decision-making.
