Arkose Labs Helps Insurer Keep Attackers Out Of Claims

See how Arkose Labs helped an insurer keep attackers out of claims processing. Explore the case study for the fraud prevention strategy!

What You’ll Learn

• How insurers can stop fraudulent claims submitted with stolen customer information Learn how modern fraud defenses detect suspicious traffic and identify when attackers attempt to exploit claims funnels using phished credentials.
• How to differentiate real policyholders from bots and human fraud rings Discover how adaptive, real-time enforcement challenges block automated scripts and drain the resources of human fraud farms—while keeping genuine users moving smoothly.
• How early fraud detection protects revenue, reduces operational strain, and improves customer trust See how stopping attackers at the claims form prevents device-replacement fraud, protects wireless partners, and preserves a seamless customer experience.

FAQ

How can insurers prevent fraudsters from submitting fake claims using stolen customer information?

By analyzing behavioral patterns, device intelligence, and intent signals at the claim-submission step, insurers can identify suspicious activity before a fraudulent claim is processed. Adaptive step-up challenges block automated attacks and exhaust the effort of human fraud rings, making fraud economically unsustainable.

What’s the best way to protect claims funnels without adding friction for real policyholders?

Using selective, risk-based challenges ensures only suspicious users encounter friction. Legitimate customers pass through without interruption, preserving the fast and familiar claims experience they expect—while bots and fraudsters are stopped instantly.

How do organizations identify when bots or human fraud farms target online claim forms?

Fraud platforms monitor traffic anomalies, interaction patterns, timing, and device consistency. When automated or coordinated human activity is detected, the system responds with enforcement that bots cannot solve—and that humans find too time-consuming to continue. This approach protects claims workflows from phishing-enabled fraud.