Webinar Description
Key Takeaways
- Addresses the emerging security challenge of autonomous AI agents operating in production environments without adequate identity controls or audit capabilities
- Explores AI Gateway architecture for governing agent interactions across LLM calls, agent-to-agent communication, and MCP tool access
- Demonstrates practical implementation of fine-grained authorization using OpenFGA
- Designed for API architects, security engineers, DevOps teams, and platform engineers responsible for production infrastructure
- Focuses on establishing dedicated identity layers for non-human actors in enterprise environments
Introduction
As organisations accelerate their adoption of autonomous AI agents, a critical security gap has emerged: these agents routinely interact with APIs, databases, and event streams without the identity frameworks, access boundaries, or audit trails that would be mandatory for human users. The webinar “Who Let the Agent In? Securing MCP Servers in Production” examines this challenge directly, offering technical professionals practical strategies for regaining visibility and control over agent activity in production environments.
The session is particularly timely given the rapid proliferation of Model Context Protocol servers and the increasing sophistication of agent-to-agent communication patterns. Traditional API security and identity management tools were designed with human users in mind, leaving significant blind spots when applied to autonomous systems that operate continuously, make decisions independently, and interact with sensitive resources at machine speed.
About This Event
Hosted by Gravitee, this virtual session takes a technical and educational approach to AI agent security. Led by a Developer Advocate, the webinar moves beyond theoretical discussion to demonstrate actionable solutions for organisations grappling with agent governance challenges. The format allows participants to engage with complex security concepts while understanding how they apply to real-world production scenarios.
The presentation centres on two complementary approaches: implementing an AI Gateway to govern the full spectrum of agent interactions, and establishing a dedicated identity layer that treats agents as first-class security principals rather than anonymous processes.
The Identity Crisis in AI Agent Deployments
When human users access enterprise systems, they authenticate through established identity providers, receive role-based permissions, and generate comprehensive audit logs. AI agents, by contrast, often operate in a security grey zone. They may inherit overly broad service account credentials, lack individual identities that distinguish one agent’s actions from another, and produce activity that blends invisibly into general system traffic.
This absence of agent-specific identity creates several operational and security problems. Incident response teams cannot easily trace anomalous behaviour back to a specific agent or determine what resources it accessed. Compliance teams struggle to demonstrate that agent activity meets regulatory requirements for access control and auditability. Security teams cannot implement least-privilege principles when agents share generic credentials.
The webinar addresses these challenges by exploring how organisations can extend identity and access management principles to non-human actors. Rather than treating agents as an afterthought in existing security frameworks, the session advocates for purpose-built identity layers that recognise the unique characteristics of autonomous systems.
Governing Agent Traffic Through AI Gateway Architecture
Central to the session’s technical content is the concept of an AI Gateway—a control plane that sits between agents and the resources they access. Unlike traditional API gateways designed primarily for request routing and rate limiting, an AI Gateway must handle the distinctive patterns of agent communication.
These patterns include LLM calls where agents interact with large language models, agent-to-agent communication where autonomous systems coordinate with each other, and MCP tool access where agents invoke capabilities exposed through Model Context Protocol servers. Each interaction type presents different security considerations and requires appropriate governance controls.
The gateway approach provides a centralised enforcement point for security policies. Rather than implementing access controls individually across every resource an agent might touch, organisations can define and enforce policies at the gateway layer. This architectural choice simplifies security management while providing comprehensive visibility into agent activity.
Fine-Grained Authorization with OpenFGA
The webinar demonstrates practical authorization implementation using OpenFGA, an open-source fine-grained authorization system. Traditional role-based access control often proves too coarse for agent scenarios, where permissions may need to vary based on context, resource attributes, or the specific task an agent is performing.
OpenFGA enables relationship-based access control that can express complex permission models. An agent might have permission to read certain data categories but not others, or might be authorised to invoke specific MCP tools only when operating within defined parameters. This granularity becomes essential as agent deployments scale and the potential blast radius of misconfigured permissions grows.
The integration between AI Gateway architecture and fine-grained authorization creates a comprehensive governance framework. The gateway intercepts agent requests, evaluates them against authorization policies, and either permits or denies access based on the agent’s identity and the specific resource being requested.
Industry Context and Emerging Requirements
The security challenges addressed in this webinar reflect broader industry trends. Enterprises across sectors are deploying AI agents for tasks ranging from customer service automation to complex data analysis and system integration. Technologies like Kafka enable event-driven architectures where agents respond to streams of data in real time, while MCP servers expose increasingly powerful capabilities that agents can invoke.
This expansion of agent capabilities coincides with heightened regulatory attention to AI governance. Organisations must demonstrate not only that their AI systems produce appropriate outputs, but that access to those systems is properly controlled and auditable. The absence of agent identity frameworks makes such demonstrations difficult or impossible.
Security teams also face the challenge of distinguishing between legitimate agent activity and potential compromise. When agents lack individual identities and their traffic is not separately monitored, malicious activity can hide within normal operational patterns. Establishing clear boundaries around what each agent can access—and logging when those boundaries are tested—provides essential visibility for threat detection.
Who Should Attend
The session is designed for technical professionals directly involved in securing and operating production environments where AI agents are deployed or planned. API architects will find relevant content on governing agent traffic patterns that differ significantly from traditional API consumption. Security engineers can explore how to extend existing security frameworks to accommodate non-human actors.
DevOps and platform engineering teams responsible for production infrastructure will benefit from understanding how AI Gateway architecture integrates with existing systems. IT security managers and decision-makers evaluating agent deployment strategies will gain insight into the governance requirements that should inform those decisions.
The content assumes familiarity with API security concepts and production operations, making it most valuable for professionals already working in enterprise environments with significant digital transformation and automation initiatives.
Conclusion
As AI agents become integral to enterprise operations, the security practices surrounding them must mature accordingly. The gap between how organisations secure human access and how they govern agent activity represents a significant and growing risk. This webinar offers a structured approach to closing that gap, combining architectural patterns like AI Gateway with practical authorization technologies like OpenFGA to create comprehensive agent governance frameworks. For organisations already deploying agents or planning to do so, understanding these security requirements is no longer optional—it is a prerequisite for responsible production operations.