A look back: key enhancements to Account Protect

Customer feedback loop: refining detection accuracy

Fraud detection models improve with real-world feedback, and over the past year, Account Protect has introduced a customer feedback loop to enhance precision. This enhancement has enabled:

• Real-time fraud classification improvements, reducing false positives and strengthening detection quality.
• API and SDK integration for seamless fraud feedback submission within existing security workflows.
• Future dashboard integration, allowing manual feedback submission from event and user activity pages.

By integrating customer insights directly into fraud models, Account Protect has ensured faster response times and continuously optimized detection strategies.

Expanding integrations: comprehensive SDK support for Account Protect

Over the past year, we’ve significantly expanded the range of SDKs supported by Account Protect, making it easier for teams to integrate advanced fraud detection into their existing tech stacks. Our integrations now include Ruby, Go, Java, Node.js, .NET Core, Scala, Python, Laravel, and Symfony.

Several of these SDKs are particularly beneficial for mobile app environments:

• Ruby SDK: Specifically designed for Ruby-based backends supporting mobile apps, ensuring real-time fraud monitoring without impacting app performance.
• .NET Core SDK: Ideal for cross-platform mobile apps, enabling secure and efficient integration for authentication and fraud prevention.
• Java SDK: Widely used in Android app development, it provides precise, real-time fraud detection directly within mobile login and registration workflows.
• Node.js SDK: Preferred for scalable backend services in mobile apps, offering responsive fraud detection that maintains user experience, even with high mobile traffic volumes.

With these Account Protect integrations, businesses benefit from:

• Real-time fraud detection through behavioral and device analysis
• Minimal engineering effort, simplifying and accelerating deployment
• Comprehensive user coverage across login, registration, and ongoing user activities
• Flexibility and scalability to seamlessly adapt to evolving security needs

These integrations empower businesses to swiftly and effectively secure user accounts while maintaining an optimal user experience.

Smarter list management for fraud prevention

Over the past year, we’ve made it easier for fraud teams to manage Allow and Block lists, a fundamental capability for account security. Instead of relying on engineering support or API calls, customers can now adjust access lists directly from the DataDome dashboard. This enhancement has provided a faster, more flexible way to manage fraud prevention settings and respond to threats in real time.

Beyond ease of use, this update ensures that lists containing Personally Identifiable Information (PII) are securely encrypted to maintain privacy and compliance. Permission-based access controls restrict modifications to authorized personnel, safeguarding sensitive data.

While AI-driven detection remains at the core of Account Protect, manual list management provides an additional layer of control, allowing teams to fine-tune fraud prevention strategies based on specific business needs. This balance between automation and customization helps fraud teams adapt quickly to emerging threats while maintaining a seamless user experience.