dFlowSecure control plane

Connect your AI.
Stay in control.

dFlow is a secure control plane for AI applications and agents. Route model requests, govern tools and prompts, enforce policies, and understand usage from one place.

dFlow at a glance
  1. Applications and agents

    Connect your AI workflows

  2. Routing and policy checks

    Govern requests to configured models and tools

  3. Visibility and notifications

    Token usage, logs, and policy violation evidence

dFlow capabilities

Route, govern, and observe.

Dynamic model routing

Route requests across your configured models according to your application’s requirements and policies.

Token analytics and cost optimisation

Understand token consumption and model usage. Use that visibility to optimise routing and manage AI spend.

Model and prompt inventory

Maintain a central view of the models and prompts your applications use, so teams can understand what powers each workflow.

MCP and tool registry

Bring connected MCP servers and tools into a shared registry. Govern the capabilities available to your agents.

Policy enforcement

Apply security policies at the control plane to govern connected AI traffic and agent actions.

Observability and evidence

Review AI traffic, logs, and policy violation evidence to investigate what happened and how the control plane responded.

How it works

One control plane. Connected AI operations.

Bring application requests, model configuration, and operational evidence into one workflow.

dFlow workflow
  1. Connect

    Bring applications, models, prompts, and tools into view.

  2. Route and govern

    Apply configured routing and security policies to AI traffic.

  3. Observe

    Review token usage, logs, and policy violation evidence.

Illustrative workflow

Follow the request. Understand the decision.

An application sends a model request through dFlow. Its configured routing and security policies determine how the request is handled.

Illustrative example
  1. Request

    The application submits a request to the secure control plane.

  2. Route and evaluate

    dFlow applies the configured routing and policy checks. An allowed request reaches the selected model.

  3. Review and notify

    The team can review usage and logs. If a policy violation occurs, connected notifications bring the evidence to the team.

Connect request handling with usage visibility and the evidence your team needs to investigate.

Evidence and integrations

Bring the evidence to your team.

Usage, logs, and violation evidence

Use logs and violation evidence to understand the event, review the policy decision, and coordinate the response.

Integrations and notifications

Connect dFlow notifications to your team’s existing workflows. Make policy violations visible to the people who need to investigate and act.

Put your AI operations under control.

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