RealTimeAuth (RTA): Dynamic Authentication
A Superior Alternative to OAuth for AI Agents and Modern Applications
Abstract
Traditional authentication mechanisms like OAuth 2.0 were designed for human-initiated, browser-based flows. AI agents operate differently — they act autonomously, run at sub-100ms latency requirements, need delegated and consented access across trust boundaries, and require continuous authorization rather than one-time token issuance. This whitepaper introduces RealTimeAuth (RTA), a next-generation authentication framework built on HTTP/3 and QUIC that addresses these gaps directly. It covers L4-aware access control, signed request flows, delegated and consented access, and secure server callbacks.
What it covers
Limitations of OAuth 2.0 for AI systems
Token refresh latency, static scope assignment, and the absence of continuous access evaluation make OAuth unsuitable for agentic workflows.
RTA protocol architecture
How RTA uses HTTP/3 and QUIC to achieve sub-100ms access decisions while maintaining cryptographic guarantees.
L4-aware access control
Transport-layer identity binding that ties authorization to the connection, not just the request header.
Delegated and consented access
How agents request, receive, and scope permissions on behalf of users without exposing credentials.
Continuous access evaluation
Real-time policy enforcement that can revoke or modify access mid-session without re-authentication.
Performance benchmarks
Latency and throughput comparisons between RTA and OAuth 2.0 under production-representative workloads.
More coming
Additional papers on Zero-Trust in Microservices, AI Orchestration Patterns, and Event-Driven Resilience are in progress.