Building an AI control layer with Tyk MCP Gateway
AI is already wired into your enterprise.
The question is: is it through channels you control?
About the Webinar
You're putting MCP servers into production. The controls you already run for REST and GraphQL don't fit. That's the problem this session solves.
When a human makes an API call, endpoint-level rate limiting is enough. When an AI agent makes the call, it isn't. Agents retry aggressively. A single misconfigured one can saturate a backend in seconds. And a single MCP server typically exposes dozens of tools with wildly different cost and risk profiles — `list_files` is cheap, `execute_sql` is expensive, `send_email` is irreversible. Sharing one rate limit across all three is a production incident waiting to happen.
This is a live session for teams either evaluating MCP gateways, scoping a PoC, or working through build-vs-buy. We'll walk through tool-level rate limiting, per-consumer filtered discovery, and unified REST/GraphQL/MCP governance — the controls platform teams need in place before an MCP rollout lands, not after.
Tyk has been securing APIs for the world's largest organisations for a decade. MCP is the same job, one layer up, and we've shipped the controls to prove it.
Register for the event
Who should attend
You're evaluating MCP gateways
Writing the shortlist, running the RFP, comparing vendors side by side.
You're scoping a PoC
You have a slot in Q2 or Q3 and you need to know what "good" looks like before it opens.
You're deciding build vs buy
Your team has started prototyping an MCP gateway internally and you're weighing whether to keep going.
Platform Engineers
Enterprise Architects
Security & Platform Leads
SRE's managing agentic workloads
Key takeaways
Why 90% of MCP traffic is ungoverned and what that's costing enterprises today
How tool-level rate limiting, per-consumer RBAC, and filtered discovery work in practice
How Tyk unifies governance across REST, GraphQL, and MCP in a single platform
Where the product is heading: Tyk's roadmap for enterprise agentic AI governance
Why API-level rate limiting breaks down for agentic workloads
A live look at Tyk MCP Gateway in action
Why attend
Learn how to eliminate AI constraints and build scalable, extensible infrastructure that keeps you in control.
Break free from vendor lock-in
Take control of your AI stack across providers, models, and tools, confidently.
Enable true governance and auditability
Discover how open architectures improve visibility, compliance, and control across your AI stack.
Accelerate innovation without bottlenecks
Explore how removing closed-system limitations empowers teams to experiment and iterate faster.
Build AI systems that scale with your business
Learn how extensibility enables your infrastructure to grow and adapt as your AI use cases expand.
Customise without constraints
See how you can tailor AI control planes to your organisation’s specific needs and workflows.
Future-proof your AI strategy
Understand why adaptability is critical in a rapidly changing AI landscape, and how to achieve it.
Meet your hosts
Chris Challis
Growth Product Manager, MCP Gateway & Agentic Infrastructure
Chris is the Growth Product Manager behind Tyk’s MCP Gateway, responsible for taking the product to market, and now building out Tyk’s full agentic gateway, to help enterprises govern, secure, and orchestrate AI agents at production scale.
With roots in software engineering and a BSc in Computational Physics, Chris has spent 25+ years moving from code, to architecture, to product, across organisations including Volvo IT, Sage, and Partnerize. A solid technical foundation gives Chris an unusually precise lens on agentic infrastructure: he’s as comfortable reasoning about MCP transport and primitive-level RBAC, as he is defining go-to-market positioning for enterprise buyers.
At Tyk, Chris sits at the sharp end of one of the most consequential questions in enterprise AI right now: what does it actually take to trust an AI agent in production? His answer starts at the gateway layer, with governance, observability, and control built in from the ground up, not bolted on after the fact.
A product leader who started as an engineer and never quite stopped thinking like one, Chris believes the agentic AI era will be defined less by the models and more by the infrastructure that keeps them accountable.
Laurentiu Ghiur
Technical Lead
Laurentiu is a Technical Lead at Tyk, working across engineering, product, and delivery to shape and build core capabilities of Tyk’s gateway technology.
Over the years, he has been central to some of Tyk’s most significant technical developments, spanning API management, security, RBAC, performance, and gateway architecture. Though his role is deeply technical, Laurentiu’s impact extends well beyond code: he drives discovery work, helps teams plan effectively, raises the bar on development practices, and sees ideas through to reliable, production-ready features.
He brings deep knowledge of Tyk’s technology stack and a sharp instinct for how changes ripple across the architecture. Colleagues know him for mentoring others, identifying risks early, championing best practices, and guiding teams toward sound technical decisions.
Most recently, Laurentiu has been focused on extending Tyk’s gateway capabilities for the AI era, beginning with support for MCP servers, enabling AI-driven traffic to flow through Tyk’s architecture where it can be secured, governed, and managed with the same rigour applied to traditional API traffic.
Sedky Haider
Field CTO
Sedky is Field CTO at Tyk, where he works closely with enterprise customers to shape API platform strategy and guide complex implementations from concept through to production.
Sitting at the intersection of architecture, product, and real-world delivery, he helps organizations make confident decisions about how to design, scale, and operate their API ecosystems.
With a background in API management, distributed systems, and platform engineering, Sedky focuses on translating technical ambition into executable strategy; whether that’s selecting the right gateway model, navigating multi-region deployments, or aligning platform capabilities with business outcomes.
Equal parts strategist, hands-on architect, and pragmatic operator, Sedky is known for cutting through complexity and grounding API conversations in what actually works in production environments.
Further resources
Learn more about building flexible, enterprise-ready AI infrastructure.
The AI Control Stack eBook
AI is evolving faster than the infrastructure built to control it. This ebook explores why legacy API platforms struggle with modern AI workloads like streaming, tokens, and agentic systems—and what’s needed instead.
Tyk AI Studio
The open-core AI gateway for enterprise AI traffic. Route, govern, and secure all AI requests through a single control plane—enforcing policy, tracking cost, and managing LLMs, agents, MCP toolchains, and RAG workloads in one place.
FAQ
How do I join the webinar?
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