{"id":72943,"date":"2025-09-25T05:00:00","date_gmt":"2025-09-25T12:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=72943"},"modified":"2025-09-25T13:00:44","modified_gmt":"2025-09-25T12:00:44","slug":"mulesoft-agent-fabric-announcement","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/uk\/news\/stories\/mulesoft-agent-fabric-announcement\/","title":{"rendered":"Salesforce Launches MuleSoft Agent Fabric to Orchestrate and Govern Any AI Agent Across the Agentic Enterprise"},"content":{"rendered":"\n

MuleSoft Agent Fabric is a new solution to discover, orchestrate, govern, and observe any AI agent, regardless of where it’s built or operating <\/em><\/p>\n\n\n\n

Customers like Barco, r.Potential, Rush University System for Health, and Wynn and Encore Las Vegas are using MuleSoft Agent Fabric to securely and confidently manage agents across their businesses<\/em><\/p>\n\n\n\n

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As companies accelerate their adoption of AI<\/a>, they\u2019re facing an explosion of agents across teams, platforms, and vendors. While this surge holds massive potential, it also introduces a new form of fragmentation \u2014 agent sprawl <\/strong>\u2014 where disconnected workflows, redundant automations, and compliance blind spots emerge. Without the right foundation, unmanaged agents risk creating chaos instead of driving productivity, making it harder to govern data, enforce security, and deliver consistent customer and employee experiences at scale.<\/p>\n\n\n\n

That\u2019s why Salesforce today announced MuleSoft Agent Fabric<\/strong><\/a>, a new solution that transforms unmanaged AI agents<\/a> into a secure and intelligent network. MuleSoft<\/a> Agent Fabric provides a single place to register, orchestrate, govern, and observe every agent, regardless of where it was built. Much like an air traffic controller ensures planes from different airlines take off, land, and share airspace safely, MuleSoft Agent Fabric acts as the backbone that connects and coordinates an enterprise\u2019s disparate digital workforce, turning chaos into cohesion and transforming fragmented agents into a trusted, high-performing network.<\/p>\n\n\n\n

Imagine a global retailer with one agent tracking inventory, another updating prices, and a third detecting fraud. MuleSoft Agent Fabric helps to ensure these agents don\u2019t operate in silos but rather work together. So whenever stock runs low, pricing adjusts automatically and fraud checks happen in real time, all while governance keeps sensitive data secure.<\/p>\n\n\n\n

Why it matters<\/strong><\/h2>\n\n\n\n

AI agent adoption is projected to surge by 327% in the next two years<\/a>, with 40% of enterprise applications<\/a> expected to include agents within a year. Each embedded agent promises to streamline tasks within its own application, but they are blind to the broader enterprise \u2014 unable to orchestrate actions across domains and lacking the necessary guardrails for secure, cross-system collaboration.\u00a0<\/p>\n\n\n\n

MuleSoft Agent Fabric delivers the missing foundation \u2014 governing, orchestrating, and monitoring agents across ecosystems, so they can work together securely, intelligently, and at scale. This empowers organizations to confidently accelerate their journey to becoming Agentic Enterprises<\/a>, where humans and AI agents work side by side, with the clarity and control needed to facilitate security and compliance.<\/p>\n\n\n\n

MuleSoft is uniquely positioned to tackle this challenge. For over a decade, enterprises have trusted MuleSoft to connect applications, data, and processes across every system. That same heritage in integration and governance now extends to AI agents, so they can interoperate securely across any ecosystem, just as MuleSoft has done for APIs and applications worldwide.<\/p>\n\n\n

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Open Image Modal<\/span>\"\"<\/a>
Architects can use <\/em>MuleSoft Agent Visualizer<\/em><\/strong> to see a visual map of their agent network. Visualizer provides real-time insights into agent interactions, decision flows, and dependencies, helping teams quickly identify bottlenecks, troubleshoot issues, and optimize performance across their multi-agent ecosystem.<\/em><\/figcaption><\/figure>\n
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