The Control Plane for AI Agents

Standardized telemetry, reliable evaluation, continuous monitoring, enforceable policy, and auditable governance across the AI lifecycle.
The Control Plane Moment for AI

Agents Are Making Decisions. You Need Control

Agents are becoming first-class enterprise actors making autonomous decisions across your operations, the question isn’t whether to deploy them. It’s whether you can trust them. Agents need the same enterprise-grade oversight already used for critical infrastructure: a control plane. Fiddler is that Control Plane. 

Fiddler is the system of record and system of control for your agents. It gives you continuous oversight into how agents behave, decide, and act while enforcing enterprise rules and governance in real time.

The Fiddler Control Plane

Policies and Controls
Traces and Telemetry
Agents and Applications
Customer Service
Code Generation
Financial Analysts
Claims Processing
Tools   I   Data   I   Models
Enterprise Tools
Knowledge Bases
Databases
Model APIs
Our Series C Milestone: Committing to the AI Control Plane
This milestone accelerates our commitment to the Control Plane for AI, the system of record that provides the visibility and authority teams need across the agentic lifecycle.
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Control Agents at Enterprise Scale

The Control Plane delivers three enterprise benefits
Fiddler achieves this through four core capabilities:

Standard Telemetry

Comprehensive data capture across the agent lifecycle. Fiddler collects telemetry from every agent interaction and aggregates span-level data into enterprise-wide insights.

  • Capture telemetry across all agent stages: thought, action, execution, reflection, and alignment.
  • Support OpenTelemetry standards for seamless integration across the AI stack.
  • Aggregate from granular spans to agent, application, and enterprise-level views.
  • Process in real-time and batch modes for immediate and historical analysis.
Learn more about Fiddler Trust Service

Reliable Evaluation

Agent trust requires continuous validation, not point-in-time checks. Fiddler evaluates quality, safety, and performance across the entire deployment lifecycle. 

  • Test agents against golden and challenger datasets before any deployment.
  • Deploy to a small subset of users to detect issues early.
  • Run new versions alongside production without affecting users.
  • Continuously evaluate agent quality, safety, and performance at scale.
Learn more about agentic observability

Continuous Monitoring

Transform raw telemetry into actionable insights. Fiddler analyzes agent behavior to surface issues, diagnose root causes, and trigger alerts when performance degrades.

  • Follow complete execution paths from application to session to agent to span.
  • Access 100+ out-of-the-box and custom metrics powered by Fiddler Trust Models, including hallucination, toxicity, PII/PHI, drift, and business KPIs.
  • Monitor agent behavior and model performance with deep diagnostics that reveal root causes.
  • Reduce MTTI and MTTR with real-time alerts that trigger immediate action when performance drops.
Learn more about AI observability and security

Enforceable Policy

Transform policies into executable code enforced at runtime. Fiddler implements controls as guardrails across input, execution, and output, preventing violations before they occur. 

  • Detect and block jailbreaks, prompt injections, and malicious inputs before processing.
  • Identify hallucinations, toxicity, bias, PII/PHI leakage, and policy violations as they happen.
  • Intervene, pause, reroute, or escalate actions when agent behavior deviates from expectations.
  • Require human approvals for sensitive or high-risk decisions before execution.
Learn more about Fiddler Guardrails

Auditable Governance

Fragmented AI deployments create accountability gaps and make compliance impossible. Fiddler provides centralized governance with complete audit evidence and executive oversight. 

  • Manage all agents from a unified executive dashboard that connects AI behavior and performance to business KPIs.
  • Record every decision, action, evaluation, and policy outcome with full traceability.
  • Generate evidence for audit trails aligned with GDPR, HIPAA, NAIC, SR 11-7, and other regulatory requirements.
  • Track responsibilities, approvals, and stakeholders across all AI applications and teams.
Learn more about governance

Frequently Asked Questions About the Control Plane for AI Agents

What is a Control Plane for AI?

An AI Control Plane is the system of record for AI agents, providing standardized telemetry, reliable evaluation, continuous monitoring, enforceable policy, and auditable governance across the AI agent lifecycle. Unlike observability tools that only show what happened, a Control Plane for AI agents actively governs what agents can do, enforcing enterprise rules in real-time and preventing violations before they occur.

Why do AI agents need a Control Plane?

AI agents make autonomous decisions that trigger cascading tool calls and policy decisions, which can fail or violate compliance requirements.  A Control Plane for AI agents provides visibility into agent behavior, context for decision-making, and control through runtime guardrails. This prevents security risks, enables deployment of high-performance agents that drive business results, and maximizes ROI by reducing incident response time while providing governance and executive oversight.

How does a Control Plane help with AI compliance and regulations?

A Control Plane for AI agents provides auditable governance by capturing every decision with full traceability, meeting regulatory requirements like NIST AI RMF, ISO/IEC 42001, HIPAA, SR 11-7, and NAIC. It enforces policies in real-time, blocks violations before they occur, and automatically generates audit evidence for compliance requirements.

What capabilities should an AI Control Plane include?

An AI Control Plane should integrate five core capabilities: 

  1. Standard Telemetry (capturing AI agent lifecycle data)
  2. Reliable Evaluation (testing agents before deployment)
  3. Continuous Monitoring (100+ metrics for hallucination, toxicity, PII/PHI)
  4. Enforceable Policy (runtime guardrails blocking harmful outputs)
  5. Auditable Governance (complete evidence to support audit trails). 

These must operate as a  system of record for AI agents, not fragmented tools.

What are the key use cases for an AI Control Plane?

The Control Plane for AI agents enables business-critical use cases: 

  • Customer service agents preventing PII leaks 
  • Healthcare AI agents protecting PHI and blocking biased clinical recommendations
  • Insurance agents with NAIC-aligned governance
  • Financial services gain full audit trails for regulatory compliance and oversight
  • Code generation agents monitored for security
  • Business process automation coordinating multi-agent workflows with complete visibility and control

What are the benefits of an AI Control Plane?

An AI Control Plane delivers three benefits: 

  1. deploying high-performance AI agents through continuous evaluation
  2. preventing compliance risks via runtime guardrails that block hallucinations and PII leaks
  3. maximizing ROI by reducing incident response time while cutting compliance efforts

This enables organizations to scale AI agents confidently without fragmented tooling or manual oversight bottlenecks.