"As organizations embrace AI agents, they face a rapidly fragmenting landscape. Every SaaS-application is embedding agents, cloudproviders are building agents, partners are building agents, and internal teams are developing their own agentic solutions. This creates new challenges: how do you manage, secure, and observe all these agents working together? How do you keep a clear overview?"
"The platform is built on three core capabilities: Discover, Broker, and Agent Visualizer. The Discover pillar creates a unified registry for all agents, LLMs, and MCP tools within an organization. The Broker handles orchestration, receiving prompts and determining which agents and tools to engage. What sets MuleSoft apart is its governance-first approach. Every ingress and egress point is protected by default, with additional policy layers available for specific needs, for example PII detection. The Agent Visualizer provides a visual map showing how agents, systems,"
MuleSoft introduced Agent Fabric to govern, manage, and observe AI agents across enterprise ecosystems. The platform acts as a neutral orchestration layer by positioning itself as a man-in-the-middle across different agent platforms. Agent Fabric centers on three pillars: Discover, Broker, and Agent Visualizer. Discover creates a unified registry for agents, LLMs, and MCP tools. Broker orchestrates prompt routing and determines which agents and tools to engage. Governance is enforced by default at every ingress and egress, with additional policy layers such as PII detection. Agent Visualizer delivers visual maps to maintain oversight of agent interactions and system relationships.
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