チャージバックが少なく、コンバージョン率が高い

Sardine’s Visitor Fingerprint is an evolution of device fingerprinting designed to give fraud teams a more accurate and stable identity layer. By combining device, browser, and network signals with a tunable Confidence Score, it significantly reduces collisions and divisions, improves aggregation-based detection, and supports more reliable fraud and account takeover prevention.

Releasing new fraud rules is a risky moment in fraud operations, as one small mistake can degrade performance, block legitimate customers, or introduce hidden system bugs. This post outlines a complete six-step rule-release process that fraud teams can use to minimize those risks. The process covers offline and online backtesting, expert review, shadow-mode validation, live accuracy checks, and long-term monitoring. Each step is designed to prevent the two most common failure scenarios: rules that hit only good users or rules that miss fraud entirely. By following this structured approach, teams can confidently deploy new rules, reduce operational risk, and maintain strong system performance heading into 2026.

A rising tide of fake job applicants using sophisticated techniques like VPNs and deepfakes are attacking businesses in all sectors. Consequently, businesses face considerable financial, security, and reputational risks. HR and recruiting technology companies can proactively address this challenge, with Sardine's AI-powered solutions playing a crucial role in detecting location spoofing and video manipulation.