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Case Study

Dropbox Protects Millions of Accounts Using the Arkose Bot Manager Platform

Learn how Dropbox protects millions of accounts with intelligent security measures. Grab the case study to enhance your platform protection!



Learn how Dropbox protects millions of accounts with intelligent security measures. Grab the case study to enhance your platform protection!

What You’ll Learn

  • How large-scale consumer platforms can stop account takeover without harming user experience

    Learn how modern intent-based risk analysis and adaptive challenges prevent credential-stuffing, enumeration, and automated login abuse while keeping sign-in fast for legitimate users.


  • How to replace outdated CAPTCHA systems with intelligent, low-friction protections

    Discover why legacy CAPTCHA often frustrates customers—and how smarter, dynamic verification improves throughput and strengthens security at the same time.


  • How unified risk decisioning helps distinguish real customers from bots and fraud rings

    See how device intelligence, behavioral patterns, and anomaly detection can expose coordinated attacks early and preserve the quality of your onboarding and login flows.


FAQ

How can companies stop account takeover attacks without adding friction for real users?

By analyzing intent signals—such as behavior, device posture, and traffic anomalies—platforms can introduce friction only when risk is high. This stops bots and malicious humans while allowing trusted users to authenticate seamlessly.

What’s the best alternative to CAPTCHA for protecting login flows?

Modern bot-management platforms use adaptive, visual, machine-vision-resistant challenges that trigger only for suspicious sessions. This approach eliminates blanket CAPTCHAs, reduces user frustration, and significantly improves good-user throughput.

How can organizations identify and block bots attempting account enumeration or takeover?

Combining behavioral analytics, device fingerprinting, and dynamic risk scoring helps security teams detect suspicious login activity—such as rapid-fire attempts, scripted behavior, or spoofed identities—and automatically trigger enforcement that disrupts attack economics.