AI Control Stack
A Reference Architecture by Tyk
One architectural boundary for seven compounding problems. The framework for governing AI at enterprise scale — without sacrificing speed.
A three-layer reference architecture that brings AI traffic under the same governance, security, and operational rigour as your APIs.
THE CHALLENGE
Seven problems compounding into one crisis
Most organisations don’t have an AI problem. They have a control problem.
A few months ago, most teams were experimenting with chatbots. Today, they’re deploying autonomous agents. Six months from now, the landscape will look different again.
01
Your infrastructure wasn’t designed for this
Traditional API gateways were built for predictable, stateless patterns. AI workloads break every assumption: streaming responses, token-based economics, multi-step agentic reasoning, MCP tool chains.
02
Costs are exploding — nobody can explain where the money goes
AI costs are consumption-based and inherently unpredictable. A single prompt loop can burn thousands. Nobody can attribute costs to teams, projects, or business outcomes.
03
There’s an organisational gap that nobody owns
Platform teams own the gateway and ops. AI teams have separate budgets and leadership. Security policies don’t span both worlds. Ask who owns the intersection and you get finger-pointing.
04
The security risk profile has expanded beyond existing tools
Prompt injection, data leakage to third-party LLMs, credential sprawl across model providers, uncontrolled tool access by autonomous agents. Existing WAFs weren’t designed for these threats.
05
You can’t govern what you can’t see
Which teams use which models? What does AI cost by department? Can you trace an AI decision end-to-end? Without observability, governance is theatre.
06
Developers can’t use what they can’t find
APIs, MCP tools, approved LLMs, and data sources are scattered across wikis and tribal knowledge. There’s no AI-ready catalogue. AI investment sits unused or goes shadow.
07
The agentic future is arriving — most organisations can’t reach it
Autonomous agents need governance frameworks, guardrails, audit trails, and scoped tool access. Most infrastructure today can barely handle basic LLM integrations.
These seven problems don’t exist in isolation. Each one amplifies the others. Point solutions create seams. Seams become security incidents, cost overruns, and stalled AI initiatives.
Why bolting AI onto legacy platforms doesn't work
The dominant API management vendors built their platforms by extending SOA and XML gateway infrastructure: heavy, monolithic, and slow to evolve. When AI emerged, they bolted AI features onto those legacy architectures. Same problems, new packaging.
Release cycles measured in quarters cannot keep pace with an ecosystem that evolves monthly. MCP went from draft specification to enterprise adoption in weeks. New model providers, new attack vectors, and new agent frameworks emerge constantly.
In a landscape that changes this fast, proprietary black-box platforms are a liability. You need infrastructure you can inspect, extend, and adapt at the speed the AI ecosystem demands.
The three-layer architecture
Seven compounding problems require one architectural boundary. The AI Control Stack establishes that boundary with three purpose-built layers.
Each layer is purpose-built for its role. Together, they provide unified control across APIs, data, models, and agents.
3
CONSUMPTION LAYER
Tyk Developer Portal
Self-service access to AI services, APIs, and MCP tools. Teams discover, request, and consume AI safely through a governed catalogue. Custom chatrooms for teams, projects, and use cases.
2
AI GOVERNANCE LAYER
Tyk AI Studio
The control point for all AI traffic. LLM routing & failover. PII redaction. Prompt and response filtering. Content guardrails. Budget caps. RAG governance. MCP tool exposure. Scriptable pre- and post-processing.
1
API MANAGEMENT LAYER
Tyk API Management
Authentication. Rate limiting. Traffic control. API lifecycle management. The same battle-tested foundation trusted by thousands of organisations for their API infrastructure.
The API Gateway provides the foundation. AI Studio adds the AI governance, routing, security, and cost control layer. The Developer Portal makes it all self-service.
One stack. Complete control.
The AI value stack
Technology doesn’t get funded. Outcomes do. The AI Control Stack delivers measurable business value across four dimensions.
Developer velocity
Self-service AI access with governance baked in. Faster time to production. Teams discover, request, and consume AI services without raising tickets.
Risk reduction
Protected sensitive data. Complete audit trails. Policy enforcement across every AI interaction. The evidence you need when the regulator asks.
Data accessibility
Secure, governed connections to enterprise data. Real-time AI applications built on federated data sources with full lineage and access control.
Cost control
Full spend visibility with attribution to teams, projects, and outcomes. Budget enforcement that prevents surprises. Intelligent routing that optimises cost.
Explore the Stack
Each layer is independently powerful and purpose-built. Dive deeper into the products that make the AI Control Stack real.
LAYER 3 -CONSUMPTION
Tyk Developer Portal
Self-service access to AI services, APIs, and MCP tools. Teams discover, request, and consume AI safely through a governed catalogue with built-in chatrooms for teams, projects, and use cases.
- AI-ready API & tool catalogue
- Self-service onboarding & key management
- Team-scoped AI chatrooms
- Usage dashboards & documentation
LAYER 1 – API FOUNDATION
Tyk API Management
The battle-tested API management platform trusted by thousands of organisations. Authentication, rate limiting, traffic control, and API lifecycle management — the foundation the AI Control Stack is built on.
- High-performance request processing
- Enterprise-grade authentication
- API lifecycle management
- Trusted by thousands of organisations
LAYER 2 – AI GOVERNANCE
Tyk AI Studio
The AI gateway that routes, governs, and secures all AI traffic. LLM routing, PII redaction, budget enforcement, MCP tool exposure, and pluggable guardrails — all in one open-core platform.
- Multi-vendor LLM routing & failover
- Cost attribution & budget enforcement
- MCP & agent governance
- Extensible plugin architecture
Get Started with AI Studio
Talk to Sales
The Future is Agentic. Control it.
The organisations that win in the AI era won’t be the ones adopting AI fastest. They’ll be the ones governing it best. The AI Control Stack gives you the framework to do both.