Digital Fraud Prevention With Descope and Traceable
Blog post from Descope
As APIs increasingly dominate internet traffic, with over half of HTTP requests attributed to them, they have become prime targets for cybercriminals seeking to exploit vulnerabilities. To combat such threats, Descope's connector with Traceable enhances authentication flows by integrating deep, contextual user behavioral data. This collaboration enables organizations to detect and prevent digital fraud and implement measures such as multi-factor authentication (MFA) for suspicious activities. Traceable, an API security company, employs advanced machine learning for fraud detection and user behavior profiling, creating unique user identifiers and proactively identifying anomalies. Through this connector, developers can ingest granular risk scores, create branching user journey paths, and orchestrate workflows using a no-code interface, leveraging additional tools like Google reCAPTCHA Enterprise and Amazon Rekognition. The connector is designed to improve security by blocking high-risk logins and tailoring authentication measures based on user risk, providing a seamless way to embed identity fraud prevention into user journeys.
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