Kong Inc., a leading developer of API and AI connectivity technologies has announced Kong Agent Gateway within the AI Gateway 3.14 release.

The launch positions Kong AI Gateway as the only gateway solution on the market to support advanced LLM, MCP, and agent-to-agent (A2A) use cases.

“When enterprises started experimenting with LLMs, the governance challenge, while still difficult, was relatively contained once you had an AI Gateway for LLM traffic,” said Alex Drag, Head of Product Marketing at Kong. 

“You had a request going to a model, a response coming back, and a gateway in between to enforce policy. With the right solutions, this becomes manageable pretty quickly,” said Drag

“That world is now over. Today’s agentic architectures look nothing like that. Agents are calling tools via MCP. Agents are delegating tasks to other agents via A2A,”

“These other agents are producing and consuming event streams. Data flows in every direction, often with little to no human in the loop, and often with no visibility into what’s actually happening.”

“This is the problem we built Kong Agent Gateway to solve. And now Agent Gateway is GA and prod-ready as of AI Gateway 3.14.” he said.

The Need for Unified AI Connectivity

As enterprises move AI from experimentation to production, they face a growing connectivity and governance challenge.

Organisations no longer route prompts to a single LLM, but orchestrate complex systems where agents communicate with external tools via MCP and collaborate with other agents using emerging agent communication protocols, such as A2A.

Without unified visibility and control, security gaps emerge, costs spiral, and compliance becomes impossible to verify. 

Most solutions address only a fraction of this traffic, leaving enterprises to stitch together multiple point solutions or accept blind spots in their AI infrastructure.

Agent Gateway strengthens Kong’s ability to secure the full AI data path, offering unified governance and observability across all AI traffic types, now including A2A communication over the new A2A protocol.

Every enterprise is wrestling with the same three challenges:

“Not having full visibility into all AI traffic and resource consumption within an agentic workflow, struggling to adopt AI in a way that helps increase margins, and dealing with issues when moving AI and agentic workloads into production,” said Reza Shafii, SVP of Product at Kong.

“We built Agent Gateway to solve this directly. Engineering teams can now govern all of their multi-agent traffic in a single place. This is the kind of control and connectivity that makes agentic AI workable at enterprise scale.” said Shafii

Gartner reveals AI Gateways Critical to AI Transformation

In their “Emerging Tech Adoption Radar 2026: Accelerating AI Transformation” report, Gartner® stated that AI Gateways help organisations.

Not only gain a single control point to enforce policies and monitor usage, they also enable techniques such as encryption to prevent sensitive information from being exposed to external AI services.

According to the research, “as agent-to-agent (A2A) interactions become more prevalent in modern architectures, AMPs and AI gateways together form the backbone of safe and scalable AI adoption. This can help contain agent sprawl and unlock the full value of AI investments.”

“But Gartner goes even further, noting that AI gateways and agent management platforms together “form the backbone of safe and scalable AI adoption” and help organisations contain agent sprawl,” Drag added.

“Kong Agent Gateway is designed to be exactly that backbone for enterprise AI governance. And it’s now a core part of the larger Kong Konnect platform as an agent management platform, making it a leading choice when conducting an enterprise AI governance platform comparison.”

“Without A2A governance, enterprises are stuck choosing between stitching together point solutions, building custom proxies, or accepting blind spots in their AI infrastructure,” Drag said

“These blind spots in agentic architectures are particularly dangerous, as they can lead to rogue agents consuming massive token budgets or leaking sensitive enterprise data across unauthorised boundaries. None of those options scale, and none of them help you avoid the security pitfalls that will kill agentic AI velocity.” he said.

Why Agent Gateway is critical for the ANZ region

Mark West, Regional Vice President ANZ at Kong, said the Agent Gateway solution was arriving at an ideal time for organisations across the Asia-Pacific region.

“AI adoption is really picking up speed across APAC, and that’s driving a big surge in the volume of LLM and MCP traffic that organisations have to handle,” he said. 

“On top of that, you’ve now got agent-to-agent communication adding another layer of complexity. Google only launched the A2A protocol last year, and we’re already seeing meaningful uptake here as enterprises start moving their agentic workloads closer to production,”

“The issue is, the more these agents start talking to each other without any proper governance in place, the tougher it gets to keep visibility, control costs, or stay on top of compliance.

“That’s exactly where Agent Gateway comes in, it gives teams the control they need right when they need it,”

“The timing feels particularly good for organisations in our region that are serious about scaling AI in a responsible way.”

How Agent Gateway Works

Agent Gateway extends Kong AI Gateway with purpose-built capabilities for managing, securing, and observing A2A communication, bringing agent-critical functionality to both an organization’s AI Gateway and larger AMP (agent management platform). 

Combined with Kong’s existing support for LLM traffic management, MCP server connectivity, API Management, and Event Management, Agent Gateway creates a comprehensive governance layer across the entire AI data path, the flow of intelligence across models, applications, tools, and data, enabling customers to enforce consistent policies across all AI traffic from a single control point.

With Agent Gateway, organisations can have:

• Unified observability across all native AI traffic: Kong Konnect acts as a single observability dashboard for all native AI traffic.
  
  
• Production-ready agentic AI: Security, access control, and audit capabilities to confidently move agentic workloads out of pilot and into production.
  
  
• Cost visibility and control: Granular tracking of token consumption and resource usage across agent workflows, enabling accurate cost allocation and margin optimisation.
  
  
• Reduced compliance risk: Full audit logging of A2A conversations for regulatory requirements and internal governance policies.
  
  
• Faster time to see value: Teams can focus on building agent capabilities rather than piecing together governance infrastructure, proxies, and custom gateway policies.

Agent Gateway is now available in Kong AI Gateway, part of the Kong Konnect platform. This release advances Kong’s vision of AI connectivity, providing the infrastructure layer that connects, governs, and optimizes all AI and API traffic between applications, APIs, events, and agentic systems.

With Agent Gateway, Kong continues to lead the market in helping enterprises deploy AI faster, govern it consistently and operate with greater cost efficiency.