From Buffering Wheels to Billions of Streams: What Agentic AI Teaches Us About Scaling Identity

Twenty-five years ago, internet video struggled due to architectural flaws, not just bandwidth issues, and today's identity systems face a similar challenge with the rise of autonomous AI agents. These agents, which require continuous authentication and authorization at machine speed, expose the limitations of traditional identity systems that were designed for occasional human logins. Existing identity infrastructures, much like early video streaming services, are centralized, stateful, and unable to handle the scale and speed required by agentic systems, leading to potential security compromises. To address this, identity systems must transition to being distributed, edge-native, and capable of handling short-lived, verifiable tokens, similar to how video streaming succeeded by rethinking its architecture. This shift is essential as agentic AI becomes the dominant workload, requiring identity systems to function as robust, scalable infrastructure rather than mere login mechanisms, enabling secure and efficient operations at scale.

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