Roundtable AI

Roundtable - Proof of Human is a fraud prevention tool designed for digital platforms and enterprises to stop bots while maintaining seamless access for genuine users. It uses real-time behavioral AI to analyze traffic patterns and distinguish between real humans and automated threats, thereby improving overall security without impacting user experience.

What Makes Roundtable Stand Out

• Invisible CAPTCHA: Operates silently in the background, eliminating the need for intrusive challenges or popups that frustrate users.
• Continuous Behavioral AI: Detects bots and fraudulent actors by monitoring subtle interaction patterns such as typing speed, mouse movements, and scrolling behavior instantly.
• Privacy-Preserving Design: Does not collect personally identifiable information or engage in cross-site tracking, enhancing user privacy and regulatory compliance.
• Effortless Integration: Minimal engineering required for quick deployment, providing instant protection through real-time API and dashboard.
• Enterprise Scalability: Built to support businesses from startups to large-scale platforms, capable of handling millions of sessions monthly with transparent, explainable security decisions.

Use Cases

• Market research firms preventing bot-driven survey sabotage and improving data quality with human verification.
• E-commerce sites stopping fake accounts and bot-driven fraud without degrading the checkout experience.
• Online platforms seeking to preserve user trust by applying non-intrusive bot mitigation that complies with privacy regulations.

Frequently Asked Questions

What is Roundtable - Proof of Human?

Roundtable - Proof of Human is a bot and fraud detection system that leverages behavioral AI to verify real users in real-time. It assesses user interactions continuously to block automated threats while allowing legitimate human traffic without interruption.

How does Roundtable's approach differ from traditional CAPTCHA?

Unlike traditional CAPTCHA, which disrupts user flow by requiring visible challenges, Roundtable uses invisible analysis of user behavior in the background. This reduces friction and improves user experience by avoiding explicit verification steps.

What kind of data does Roundtable collect to verify users?

The system focuses on behavioral signals such as typing dynamics, mouse movements, and scrolling patterns without collecting personal data or cross-site identifiers. This approach supports privacy compliance frameworks like GDPR and CCPA.

Can Roundtable handle large-scale traffic?

Yes, Roundtable is designed to scale with enterprises handling millions of sessions, offering a tiered pricing model that accommodates both startups and large organizations.

What are the limitations of Roundtable - Proof of Human?

While effective at distinguishing bots based on behavior, the system may require integration with complementary tools for handling highly sophisticated fraud schemes or multi-vector attacks. It primarily focuses on traffic verification rather than end-to-end security.