Fastly AI Runtime Control: Visibility and Governance for Engineering Teams

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AI-assisted software development has moved from experiment to standard practice - and it has brought a new problem with it: ballooning costs and little visibility into what agentic workflows are actually doing. Austin Spires (Head of Developer Marketing) and Jonathan Speek (Technical Product Lead, AI) share how Fastly's prototype rapidly evolved into a production-grade AI control plane, AI Runtime Control (ARC).

In this session, you'll learn:

• Why AI engineering costs spiral - and how to see it coming: Learn how virtual keys tie every token and dollar to a specific engineer, team, or project across multiple model providers, so you catch runaway spend before the invoice does.

• How to govern internal AI usage without slowing it down: From HR vibe-coding to production apps to every frontier model in play at once — how a single control plane between your applications and AI models brings multi-provider complexity under control.

• What 15 years of running critical infrastructure brings to an AI gateway. See how Fastly applied existing platform primitives - caching, rate limiting, security, compute - to AI traffic, and why that matters in a market flooded with startups and stitched-together point tools.

Register today to see how ARC can support your agentic transformation journey.