Roundtable

What is Roundtable?

Roundtable is an advanced AI-driven tool designed for invisible bot detection and fraud prevention. It operates seamlessly in the background to score all incoming traffic in real-time, allowing only verified human interactions to pass through. By utilizing behavioral biometrics, Roundtable effectively identifies and stops automated bots and fraudulent activities without disrupting the user experience, ensuring that genuine users can access the platform unhindered.

How to use Roundtable?

1. Sign up for an account on the Roundtable website and choose a suitable plan.
2. Integrate the Roundtable API into your existing platform by following the provided documentation for a quick setup.
3. Configure the settings to match your specific needs, such as defining thresholds for bot detection and fraud prevention.
4. Monitor real-time analytics through the dashboard to gain insights into user interactions and traffic quality.

What are the main features of Roundtable?

• Invisible CAPTCHA: Provides seamless security without interrupting user experience.
• Continuous Behavioral AI: Instantly detects suspicious behavior patterns to prevent fraud before it occurs.
• Privacy-preserving: No personally identifiable information (PII) is collected, ensuring user privacy and compliance with regulations.
• Effortless Integration: Quick and easy deployment with minimal engineering effort required.
• Explainable Results: Offers clear insights and interpretable security decisions for transparency.

Who is Roundtable for?

Roundtable is ideal for businesses and organizations that require robust security measures against bots and fraudulent activities. It is particularly beneficial for market research companies, e-commerce platforms, and any online service that relies on accurate user data. By ensuring the integrity of user interactions, Roundtable helps these entities maintain trust and quality in their data.

What are the use cases of Roundtable?

1. Market Research: Enhancing data quality by detecting and eliminating fraudulent responses in surveys and studies.
2. E-commerce: Protecting online stores from automated bot attacks that could skew sales analytics or compromise transactions.
3. Online Services: Ensuring that platforms relying on user-generated content maintain authenticity and credibility by filtering out bot-generated inputs.