The defining infrastructure shift of the agentic era isn’t just about making AI smarter; it’s about making it capable of action. This is at the core of our latest Headless 360 initiative; exposing every platform capability as an API, CLI, or MCP tool so that autonomous agents can interact directly with enterprise systems.
But there’s a catch: your AI program is probably further along than your governance is; companies are building AI agents faster than they can govern them.
According to S&P Global, 42% of companies abandon them before they even reach production.
Building on MuleSoft’s position as the market-leading API management platform, Salesforce is introducing MuleSoft Omni Gateway — a new solution built for the agent control plane to provide unified governance and visibility for the agentic enterprise. A single place to control API, MCP, LLM, and agent traffic across the platforms and gateways you already run, without the pain of replacing them. For platform engineers, IT architects, and AI Ops now responsible for what agents do in production fast, Omni Gateway makes governance the easy part.
Why this moment is different
The problems now surfacing with AI aren’t new. Security gaps, versioning issues, shadow assets, inconsistent onboarding — these are the same challenges that enterprise API programs spent years solving. The difference is that they’re now arriving at scale, on infrastructure that wasn’t designed for autonomous consumers, and at a pace that manual governance processes can’t match.
Analysts have been direct about what this means for the market. API management vendors that fail to expand support for AI protocols and autonomous agents risk obsolescence, while point solutions — standalone AI gateways, custom Model Context Protocol (MCP) servers — appeal to buyers who don’t yet understand that governing one layer at a time doesn’t solve a full-stack problem. The rapid pace of change is also creating real buyer hesitation: organizations worry that what they invest in today may not be the right foundation tomorrow.
What’s actually working is the opposite of adding more tools. The enterprises getting AI to production fastest are extending the governance strategies they’ve already proven — applying them consistently across every new surface rather than rebuilding from scratch each time.
MCP itself is still maturing as a standard and new agent platforms and large language models are cropping up every day, leaving real open questions around security and governance that point solutions aren’t positioned to answer. What’s needed is a governance layer broad enough to cover the full stack and flexible enough to evolve as the standards do.
Introducing MuleSoft Omni Gateway
Where Agent Fabric — MuleSoft’s agentic control plane for orchestrating and observing agents across the enterprise — connects AI agents to the work they need to do, MuleSoft Omni Gateway governs the traffic those agents generate. It ensures that security, cost, and compliance rules apply automatically to every interaction, across every gateway, MCP, API, and LLM in the chain.
The capabilities it delivers share a common design principle: consistent governance breeds the confidence to go faster.
Federated visibility extends that consistency to policy enforcement for APIs and gateways that MuleSoft doesn’t own, giving organizations a single managed catalog without requiring them to replace existing infrastructure.
MCP conversion turns years of OpenAPI (REST), gRPC, GraphQL, and WebSocket APIs into governed, agent-ready tools in minutes, with authentication and compliance controls inherited automatically from the source.
Token usage, model routing, and unified LLM access sit in a shared policy layer visible to both IT and AI engineering teams, so token spend and content guardrails aren’t tracked in silos. End-to-end visibility carries correlation IDs across every interaction in an agent chain, making the full audit trail available before something goes wrong rather than after.
And compliance policies, including identity propagation and prompt safety, embed at the design phase and enforce through runtime on every gateway in scope.
What this looks like across the organization
The platform team managing a mixed gateway environment gets a single enforcement layer across all of it — policies applied once, consistently, regardless of which underlying gateway is handling the traffic. No parallel governance stacks, no manual reconciliation across vendors.
The AI architect connecting LLMs to enterprise data loses the custom integration work that has historically been the slowest part of the process. An existing API becomes a governed, agent-ready tool in minutes, with authentication inherited rather than rebuilt.
The FinOps and security teams — now jointly accountable for AI spend and safety — work from a shared interface. Token consumption, model routing, access unification and content guardrails are visible in the same place, by default, rather than assembled separately by each function.
And for the operations team, a single thread connects every interaction — human or agent. When something fails or behaves unexpectedly, the audit trail is already there.
Getting there
Omni Gateway is available today through the MuleSoft platform and via MuleSoft Vibes. Later this month, you’ll also be able to manage Omni Gateway directly through third-party platforms that your teams love to use, such as Claude and Slack, meaning they don’t have to context switch. The governance foundation is what makes it possible to keep moving. When every LLM call is accountable, every agent action is traceable, and policy applies consistently across the full stack, the friction that typically forces teams to slow down stops accumulating. That’s the premise MuleSoft Omni Gateway is built on: trusted governance is what makes it safe to go faster and scale.
Perspectives
“At AT&T, we’ve built our integration strategy on MuleSoft’s platform — and the scale and reliability it has delivered across our API ecosystem has been a true differentiator. The launch of MuleSoft’s Omni Gateway represents a fundamentally new way to think about AI connectivity — one that gives enterprises like ours the control, visibility, and agility to bring intelligent agents into our operations with confidence. As we continue pushing the boundaries of what’s possible in telecommunications, having Omni Gateway in our toolkit means that as AI becomes central to how we serve our customers, we have the infrastructure and the right partner to make it real.”
— Brad Ringer, AT&T, Principal System Engineer
“Enterprises are building AI agents faster than they can govern them, and that gap is becoming a material risk. MuleSoft is strongly positioned to close it: Omni Gateway provides a unified control plane that lets IT manage APIs, LLMs, and autonomous agents from a single platform, directly addressing the runaway token costs and security gaps that plague ungoverned agentic deployments. As enterprises aggressively expand their AI footprint, the ability to prevent context bloat, enforce policy guardrails, and track ROI across the business is now table stakes. MuleSoft has the integration footprint and platform depth to lead this shift. Organizations that lack this level of centralized orchestration will find themselves spending more, seeing less, and exposing more.”
— Mitch Ashley, VP & Practice Lead, Software Lifecycle Engineering and AI-Native Software Engineering, Futurum Group
“The enterprises reshaping their industries aren’t choosing between speed and control — they’re demanding both. MuleSoft Omni Gateway was built on a simple conviction: governance isn’t the brake on AI innovation, it’s the engine. When every agent, every API, every integration is managed through a single, consistent control plane from day one, you don’t just move faster — you move with confidence. That’s the future we’re building.”
— Andrew Comstock, SVP & GM, MuleSoft
What’s next?
The ability to get to production at speed, with confidence, is the crux of scaling AI.
Getting there means building the governance foundation early enough to stop operational risk from accumulating. When every API and MCP interaction is governed, every LLM call is accountable, every agent action is traceable, and policy applies consistently across the full stack. The friction that typically forces teams to slow down stops compounding.
That’s what MuleSoft Omni Gateway is built to provide. And for MuleSoft customers, it’s already here.
To learn more about the state of agentic transformation and the future of AI, download this year’s Connectivity Benchmark Report and subscribe to our newsletter, Technically Speaking.
