How Sift helps CoinJar protect $300M+ in crypto assets
公司规模
1,000+
国家
- Worldwide
产品
- Sift
技术栈
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 机器学习
适用行业
- 金融与保险
适用功能
- 离散制造
用例
- 欺诈识别
服务
- 数据科学服务
关于客户
CoinJar is one of the most well-established, longest-running digital currency exchanges in the world. Founded in 2013, the platform has enabled over 500k online users to buy, sell, store, and spend cryptocurrencies. With over USD $2B traded and $300M+ assets under custody, protecting users and their holdings is critical. The company operates entirely online, making it extremely important to have an effective and efficient online identity assurance program in place.
挑战
CoinJar, a well-established digital currency exchange, was facing challenges with identity fraud, chargebacks, and account takeover. Being an online-only platform, it was crucial for CoinJar to have an effective online identity assurance program. The irreversible nature of crypto transactions and the anonymity provided by digital currencies made it a prime target for fraudsters. The company needed a solution that could adapt in real-time and provide effective fraud prevention.
解决方案
CoinJar turned to Sift for its adaptable, real-time machine learning capabilities. Sift's customizable models and seamless integration with CoinJar’s existing tech stack allowed the company to prevent payment fraud and account takeover while delivering fast, simple experiences to its users. Sift's machine learning models adapt in real time, using data from Sift’s vast merchant network of 34,000+ sites and apps and over 60B global signals. This helped CoinJar to surface and reduce the risk of account takeover and payment fraud.
运营影响
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