The hidden cost of password sharing and how to prevent it

Password sharing, traditionally seen as a streaming issue, is now a significant challenge for SaaS companies that rely on seat-based pricing, leading to revenue loss, skewed usage metrics, and compliance issues. Traditional detection methods, which often rely on simplistic heuristics, fail to differentiate between legitimate multi-device use and credential sharing, resulting in false positives that frustrate users. WorkOS Radar addresses this by using a sophisticated, event-driven approach that aggregates and analyzes login and session data across applications, employing behavioral modeling and anomaly detection to identify potential sharing while minimizing false positives. By integrating with existing identity systems and adhering to compliance standards like SOC 2 and GDPR, Radar provides actionable insights that help companies maintain security and trust without impeding user experience or growth. This nuanced detection system allows businesses to balance the need for security and accurate billing with the imperative to maintain customer satisfaction and trust.