The Age of the Agent Is Already Here
AI Agents are no longer just “the next big thing” — they are already in production, hitting your organization’s APIs and consuming your data. Traffic is shifting from humans to autonomous agents, and with that shift comes the same foundational challenges, but at a completely new scale and speed.
How do you control access? How do you monitor costs? How do you ensure security when the one calling your API is not a person, but a language model acting autonomously?
In this article we explore the key technical and strategic concepts we will cover in depth together with Gravitee in our live session on May 28th, 2026.
Traffic Is No Longer Generated by Humans
For years we have designed our APIs with developers and applications in mind — following predictable flows. However, AI agents radically change this paradigm:
- They generate “shadow traffic”: massive, unpredictable requests often outside expected usage patterns.
- They act autonomously: they can chain multiple API calls in milliseconds to complete a task.
- They consume resources without control if proper cost, security, and governance limits are not in place.
- They use the Model Context Protocol (MCP) as the new standard for connecting with external tools.
What Is an AI Gateway and Why Do You Need One?
An AI Gateway applies to LLMs the same governance we already know for REST APIs: cost control, security, fallback policies and real-time observability.
Cost Management
LLMs are billed per token. Without an AI Gateway, a looping agent can burn thousands of dollars in minutes. The solution involves implementing token limits per session, user or task, with automatic alerts and cutoffs.
Security and Access Control
Agents should not have unrestricted access to your systems. The AI Gateway acts as an intermediary, enforcing authentication, authorization and sandboxing policies before an agent can invoke any internal tool.
Fallback and Resilience
What happens when the primary model fails or is overloaded? A well-configured AI Gateway automatically redirects to alternative models, maintaining service continuity without manual intervention.
Real-Time Observability
Seeing complete traces of each agent conversation — which tools it invoked, how many tokens it consumed, what errors it generated — is essential for debugging, optimizing and auditing agent behavior in production.
MCP: The New Standard for Agent-Tool Integration
The Model Context Protocol (MCP) is emerging as the de facto standard for AI agents to securely and structurally connect with external tools: databases, internal APIs, third-party services…
Think of MCP as the “USB-C of agents”: a universal protocol that lets any model connect with any tool in a predictable and secure way.
The Security Problem MCP Introduces
Without an intermediate control layer, MCP exposes your infrastructure to: unauthorized access to sensitive data, execution of unwanted actions in critical systems, and prompt injections that manipulate agent behavior.
MCP Gateway: Closing the Security Gap
The MCP Gateway acts as an intermediary between the agent and internal tools, enforcing access policies, logging all interactions and limiting which operations each agent can execute in each context.
What We Will Cover in the May 28th Webinar
The live session “Beyond the Prompt: Governing AI Agents & MCP at Scale”, jointly presented by CloudAPPi and Gravitee, is structured in two complementary parts:
Part 1: The Theory
Presented by CloudAPPi
- Agents in Production: Managing the “shadow traffic”
- The AI Gateway: REST-style governance for LLMs
- The MCP Standard: the future of agent tool-use
- MCP Gateway: Closing the security gap
Part 2: The Demos
Presented by Gravitee
- AI Gateway in Action: live policy enforcement and LLM traffic control
- MCP Connectivity: securely bridging agents to tools
- Agentic Workflows: orchestrating and observing autonomous agents on Gravitee
Our Speakers
Jesus Vallejo, Head of APIs at CloudAPPi, will lead the theory segment with a practical, hands-on vision of how organizations are tackling AI agent governance today.
Sam Prodger, Field CTO at Gravitee, will deliver live demos showing how Gravitee implements the AI Gateway and MCP Gateway in real production environments.
📅 May 28th · 3:00 PM CEST · Free Live Session
Beyond the Prompt: Governing AI Agents & MCP at Scale
Join CloudAPPi and Gravitee to discover how to govern AI agents and MCP at scale. Limited seats available.
