Key Takeaways
- Fiddler is named in Forrester's The Agentic Control Plane Solutions Landscape, Q2 2026.
- We shared our AI Control Plane vision in our Series C announcement in January, before the term was common in the AI space. Forrester has now formalized it as a category.
- The layer that governs agents cannot be owned by the platforms that build and run them. Neutral, cross-runtime coverage matters more than any single platform's built-in governance.
- Agents are already in production making autonomous decisions, and enterprises need control over what agents are allowed to do, not just visibility into what they did.
Fiddler is named in Forrester's The Agentic Control Plane Solutions Landscape, Q2 2026, its overview of the vendors shaping how enterprises govern, monitor, and control AI agents.
In our Series C announcement in January, we shared our AI Control Plane vision, a bet reinforced by our investors and strategic partners: as AI moves from copilots to autonomous agents, trust becomes the bottleneck, and the answer is a control plane. A system of trust that unifies standardized telemetry, reliable evaluation, continuous monitoring, enforceable policy, and auditable governance across the agentic lifecycle. At the time, "AI control plane" was not a term heard in the AI space.
Fast forward to today, and many enterprises and startups have attached the term to products they already sell. When a term spreads that fast, it starts to lose its meaning, which is why an independent analyst firm formally defining the category matters. The AI control plane is now a Forrester category, and Fiddler is in the landscape.
Our conviction hasn't changed: the layer that governs agents can't be owned by the platforms that build and run them, because a vendor can't impartially govern its own agents, let alone a competitor's. That's why neutral, cross-runtime coverage matters more than any single platform's built-in governance.
The recognition also reflects where enterprises actually are. Agents are in production now, making autonomous decisions across business-critical workflows, and most organizations can't fully answer what those agents are accessing, spending, or leaking. Visibility alone doesn't close that gap; enterprises need control over what agents are allowed to do, not just a record of what they did.
If you're evaluating what a control plane should actually include, we wrote a guide: The Control Plane for AI Agents: The Architecture Behind the Hype. And if you want to see the Fiddler AI Control Plane in action, request a demo.