Modern AI applications—such as real-time copilots, autonomous agents, and interactive platforms—demand authentication and authorization methods that exceed the capabilities of traditional OAuth 2.0 and OIDC frameworks. These established standards, designed for predictable request-response interactions, struggle with dynamic token management, continuous monitoring, and proactive threat detection. As a result, they fall short when applied to environments where users, data, and permissions change rapidly.
This session introduces RealTimeAuth (RTA), a next-generation authentication and authorization protocol purpose-built for modern AI-driven and real-time applications. RTA improves on OAuth 2.0 and OIDC by introducing specialized grant types tailored to AI agents, advanced encryption that surpasses standard OAuth practices, and integrated multi-factor authentication to ensure layered security. Attendees will learn how RTA leverages AI-powered anomaly detection, nonce-based replay protection, and signed messages to maintain data integrity and thwart evolving threats. Additionally, RTA’s continuous access evaluation, dynamic token rotation, and support for server callbacks enable immediate responses to compromised credentials and updated security policies.
By examining RTA’s architecture and features, this session will illustrate how it delivers a more resilient, flexible, and secure framework—one that aligns seamlessly with the speed and complexity of today’s AI-driven, real-time applications.
