The Fiddler Control Plane for AI Agents

Continuous oversight and real-time enforcement, from the creation layer to production.
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Agents are first-class enterprise actors, making autonomous decisions across your operations: reading files, calling tools, and pulling context faster than any reviewer can keep up with. However, most organizations don't fully know what they're accessing, spending, or exposing.

Fiddler is the system of trust for your agents. The Fiddler AI Control Plane gives you visibility, context, and control across the AI lifecycle, covering first-party, third-party, and coding agents.

Visibility. Context. Control.

The Fiddler Control Plane delivers three enterprise benefits, deploy high-performance agents, prevent compliance and security risks, and maximize ROI, through five core capabilities.

  1. Standardized Telemetry
  2. Reliable Evaluation
  3. Continuous Monitoring
  4. Enforceable Policy
  5. Auditable Governance

The Only Inline Enforcement at the Agent's Request and Response Path

For coding agents, Fiddler integrates with the LLM gateway you already operate. No new gateway, no agent-side integration.

Fiddler AI Control Plane for Coding Agents: the only inline enforcement on the request and response path, detecting and redacting PII, PHI, and secrets.

Integrate Fiddler through the existing LLM gateway in  your AI stack:

  • LiteLLM
  • AgentGateway
  • Kong Gateway

One Control Plane. Through the Gateway You Already Run

Adoption, Performance & Cost Observability

Agentic fleet intelligence across every agent, developer, token, and dollar.

  • Native OpenTelemetry, no instrumentation; full telemetry through your gateway
  • From individual developer to org-wide rollup
  • Cost, performance, and security in a single pane
  • Contextual insights for executives across every business unit

Bidirectional PII/PHI Detection and Redaction

Detects and redacts sensitive data in both directions, whether prompted by a developer or returned by a tool.

  • Enforces on both request and response; traditional tools catch only the request
  • Model-based detection via Centor Models, not pattern matching
  • Zero data egress: runs in your environment, no Evaluation Trust Tax

Inline Secrets Detection and Redaction

Catches what commit-time scanning misses: credentials read from .env files, configs, or MCP endpoints.

  • Detects leaks in developer prompts, file reads, and tool returns
  • Stops leaks before data moves anywhere
  • Runs with bidirectional detection at the same gateway point

Flagging Is Not Enforcing

Vendors in this space flag risky behavior with evaluators and dashboards. A score logged after the agent acts documents the incident; it doesn’t prevent it. Fiddler observes and enforces on the same request: every interaction captured for visibility and gated before any data moves.

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