Roundtable

Roundtable - The AI-Powered Fraud Prevention Network is a web-based platform that builds the identity layer for digital finance by leveraging behavioral evidence rather than static credentials. It focuses on real-time identity verification through analysis of session dynamics, cognitive patterns, and interaction flows to distinguish real users from fraudulent actors without adding friction. The system emphasizes continuous, dynamic fingerprinting of user behavior to prevent fraud across financial and digital channels. The platform provides a web app, documentation, and integrations to help teams implement scalable, low-friction identity verification and fraud prevention.

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How it works

1. Behavioral identity signals. The platform analyzes ongoing user actions such as typing patterns, mouse movements, scrolling, pacing, and interaction cadence to create a behavioral fingerprint.
2. Real-time verification. It continuously assesses session dynamics and cognitive patterns to determine whether the current user is legitimate, without requiring passwords or extra steps.
3. Adaptive risk assessment. The system updates risk scores as sessions evolve, enabling proactive detection of anomalous behavior and interventions when necessary.
4. Platform integration. Designed to integrate with digital finance apps, websites, and services via APIs and documentation to fit existing risk workflows.

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How to Use Roundtable

• Access the web app and see real-time dashboards, session streams, and risk insights.
• Review behavioral fingerprints and risk signals for active sessions.
• Integrate Roundtable via official documentation and SDKs to feed abuse signals into your existing fraud workflows.

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Use Cases

• Real-time customer identity verification without friction
• Continuous session monitoring to catch account takeover attempts
• Behavioral analytics to improve trust and UX while reducing false positives
• Integration-ready protection for fintech, wallets, exchanges, and other digital finance services

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Security and Privacy Considerations

• Behavioral data is used to verify identity in real-time while aiming to minimize intrusive prompts.
• The approach emphasizes non-static, dynamic signals to reduce reliance on passwords and device fingerprints alone.
• Ensure compliance with applicable privacy laws and obtain user consent where required by your jurisdiction and policy.

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Core Features

• Real-time behavioral identity verification without friction
• Continuous session dynamics analysis (typing, scrolling, mouse movement, pacing)
• Cognitive pattern and interaction-flow assessment for risk scoring
• Dynamic, evolving identity fingerprint across sessions
• Integrations and API access for fintech and digital finance platforms
• Documentation and web app for monitoring, insights, and workflow integration
• Scalable, low-friction fraud prevention suitable for large user bases