A decade ago, cloud and API sprawl got ahead of governance, and enterprises spent years trying to account for costs they'd never tracked. Today, we're seeing the same pattern around AI, with hundreds of customers proxying traffic via Kong AI Gateway, which includes LLM, MCP, and agent connectivity.…
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In July, we announced Kong AI Gateway 2.0 in private beta and made a promise: freed from the API gateway release train, AI Gateway would ship at the speed of the AI ecosystem itself. We said you'd see the evidence quickly. Here it is. Kong AI Gateway 2.0 is now generally available , and…
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Kong was born to connect. The world is shifting from connecting cloud services with apps to connecting LLMs through agents. API calls and tokens are moving in tandem; a new unit of intelligence is forming. As AI traffic explodes into hypervolumes, speed is all that matters. The same principles of…
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Gartner published a report last week (1) that I think marks a genuine inflection point for how enterprise technology leaders should think about AI strategy. The headline finding: we have crossed a threshold where competitive advantage in the AI era is no longer about access to data — it's about…
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AI infrastructure is changing fast. Enterprises are no longer building around a small set of models exposed through relatively consistent interfaces. New model architectures are emerging (Here’s looking at you Jev!). Providers are introducing new APIs and capabilities. Enterprises are running…
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Trace complete AI sessions across models, tools, agents, and infrastructure — and understand where performance, cost, and failures accumulate. Traditional observability was built around requests. A request comes in. A service processes it. A response goes out. You trace what happened in between.…
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AI models, agents, and MCP servers are showing up across every team, cloud, and gateway in the enterprise, with no central place platform teams can trust to know what exists. We're announcing the evolution of Kong Catalog (formerly Service Catalog), extending the discovery, documentation,…
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New AI cost management capabilities help organizations price, attribute, plan, control, and optimize AI spend across models, applications, teams, and agents. AI is getting easier to build with. Paying for it is getting harder to manage. As organizations move from AI experiments to production…
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