MuleSoft Blog

How to see every AI agent in your enterprise, prove what it’s allowed to do, and stop it when it goes wrong MuleSoft announces new governance and security capabilities for Omni Gateway, giving CISOs and IT teams a single layer of visibility, identity and containment for enterprise AI agents. See what’s running across your whole […]

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How to bring pricing, attribution, and enforcement to every AI agent in your enterprise MuleSoft announces a host of new cost management capabilities for Omni Gateway, giving platform and FinOps teams the tools to see what AI actually costs and act on it: price every request against the rate you actually pay, cut the token […]

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How to move agentic AI from pilot to production, without fighting your own infrastructure MuleSoft announces a host of new capabilities for building and running agentic workflows, giving IT and platform teams the tools to discover every AI asset across their environment, make existing APIs and agents agent-ready, orchestrate them reliably at scale, and manage […]

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The gap between a compelling AI agent demo and a production-ready one is not a technology gap, it’s a control gap. Around one in four enterprises is already running an AI agent pilot, and very few of these make it into production. Most pilots perform well in controlled demonstrations and fall apart when they meet […]

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The governance challenge of agentic AI is not primarily a model problem or an agent-building problem. It is an integration and operations problem. When agents reason and act, what breaks down is the layer responsible for answering the questions the agent runtime was never designed to answer: who authorized this agent to call this tool? […]

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