Sift
Case Studies
How Swan Bitcoin keeps loss rates down and stays a step ahead of fraud
Overview
How Swan Bitcoin keeps loss rates down and stays a step ahead of fraudSift |
Application Infrastructure & Middleware - API Integration & Management Cybersecurity & Privacy - Application Security | |
Finance & Insurance | |
Business Operation | |
Cybersecurity Fraud Detection | |
Cybersecurity Services System Integration | |
Operational Impact
The aggregation of data in the Sift Console helps empower Swan fraud agents to make accurate and efficient decisions. | |
Swan’s fraud reduction efforts have also become more advanced and sophisticated with Sift workflows and automation, making it easier for the platform to prevent fraud. | |
Sift has also helped Swan with an SMS attack in which random accounts, fake emails, and randomly generated domains infiltrated their systems. Swan was able to feed these signals into Sift and automate decisions to shut down the accounts before they could enter the platform and do any more damage. | |
Quantitative Benefit
Lowered loss rate by 90% | |
Reduced manual review time by 80% | |