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Case Study

Adobe Reduces Fake Account Risk and Improves User Experience with Arkose Labs

Adobe improved user sign-up experience while enhancing account protections. Dive into the customer interview to learn its balancing act!

Adobe Reduces Fake Account Risk and Improves User Experience with Arkose Labs case study



Adobe improved user sign-up experience while enhancing account protections. Dive into the customer interview to learn its balancing act!

What You’ll Learn

  • How companies can block fake account creation without damaging conversion

    Learn how modern fraud platforms detect risky sign-ups using behavioral and device intelligence—before attackers can create spam or phishing accounts.


  • How to reduce reliance on CAPTCHA and improve user experience

    Understand why CAPTCHA-heavy flows cause abandonment and how adaptive verification introduces friction only when it’s truly needed.


  • How organizations use real-time risk signals to safeguard registration forms

    Discover how deeper session visibility and continuous monitoring help security teams identify suspicious behavior early and protect brand trust.


FAQ

How can businesses stop fake accounts without hurting sign-up conversion?

By using adaptive risk assessment—powered by behavioral analytics, device intelligence, and intent scoring—companies can identify suspicious sign-ups in real time and introduce challenges only to high-risk users. This protects registration flows from bots and fraudsters while keeping the experience frictionless for legitimate users.

What are better alternatives to CAPTCHA for preventing automated account creation?

Modern solutions replace traditional CAPTCHA with dynamic, context-aware challenges that activate only when risk is detected. These systems reduce user frustration, block bots more accurately, and help increase successful account completion rates.

How can companies detect phishing or spam accounts during sign-up?

Fraudulent accounts can be identified by analyzing email legitimacy, behavioral anomalies, device fingerprints, and traffic patterns. Real-time detection using these signals helps organizations stop malicious accounts before they can send phishing messages or spam.