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Pintle Control

Policy and identity for every enterprise AI agent.

A control plane that puts identity, policy, and approval workflows in front of every model call — without slowing your teams down.

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What you get

  • Identity-aware calls

    Every agent call is signed with a scoped service identity, with short-lived tokens minted per session.

  • Policy as code

    Declarative rules for which models, tools, and data classes each team can use. Evaluated at request time.

  • Approval workflows

    High-risk actions pause for human approval with full context. Approver sees the prompt, the planned action, and the reason code.

  • Tool sandboxing

    MCP tools and function-callers run inside per-tenant sandboxes with network egress allow-lists.

Why Pintle Control exists

Your engineering teams want to ship AI workflows. Your security team needs to know exactly what each agent can touch, on whose behalf, and with what authorization. Pintle Control sits between the two as a single chokepoint — fast enough that developers don’t route around it, comprehensive enough that auditors don’t ask for a separate system.

How it fits

Pintle Control is the foundation the rest of the platform stands on. Pintle Flows uses it to authenticate orchestrations; Pintle Insights uses it to attribute every recorded action to a verified identity. You can also use Control on its own, in front of agents you’ve built elsewhere, via our HTTP and MCP gateways.

Specifications

Identity providers
Okta, Azure AD, Google Workspace, OIDC, SAML
Policy languages
OPA / Rego, JSON Logic
Token lifetime
Configurable, default 15 min
Tool runtime
WebAssembly + Firecracker

See Pintle Control in action.

A 30-minute call is the fastest way to find out whether this is the right fit.

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