Case Study

Cequence Cuts Fraud Detection from Hours to Seconds

Cequence Cuts Fraud Detection from Hours to Seconds

Pages 2 Pages

This case study describes how one of the world’s largest investment firms struggled to detect account takeover and fraud targeting its customer-facing API endpoints, where successful attacks could lead to unauthorized withdrawals and loss of customer trust. The fraud team relied on a post-forensic analysis tool that took up to three hours to determine whether fraud occurred and required analysts to manually sift through thousands of transactions, creating heavy operational pressure. By deploying the Cequence Unified API Protection platform, the firm quickly configured custom security policies that automated behavioral analysis and accelerated detection without requiring mobile SDKs or JavaScript instrumentation. As a result, mean time to detect dropped from three hours to about 30 seconds,

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