Governed execution for autonomous agents

Every agent run. Bound to authority.

BoundRunner is the runtime control plane between agent intent and real-world side effects. Every run stays bound to identity, deterministic policy, approval, narrow credentials, and signed evidence.

  • Open-core foundation
  • Fail-closed by default
  • No raw-secret persistence
Live control path
request / 8f42…c9a1
agent actionkubernetes.workload.deployproduction / payments-api
  1. Identity boundagent: release-bot · digest verified
    12 ms
  2. Policy evaluatedbundle: production-guardrails / v1.4.2
    7 ms
  3. Approval requiredplatform operator · immutable snapshot
    human
  4. Credential reducednamespace: payments · expires in 4m 58s
    scoped
  5. Evidence sealedsequence 18,402 · Ed25519 signed
    valid
final decisionALLOW_WITH_CONSTRAINTS
Control actions acrossGitHubKubernetesTerraformMCPHTTPInternal APIs

One control path

Authority is a chain, not a checkbox.

Every transition stays bound to the same tenant, principal, agent deployment, action, resource, environment, and policy version.

  1. 01

    Identity

    Resolve the human, workload, agent, and deployed artifact.

  2. 02

    Policy

    Evaluate a normalized action through versioned deterministic policy.

  3. 03

    Approval

    Pause the exact high-impact action for an eligible independent reviewer.

  4. 04

    Credential

    Issue only the short-lived scope needed for the approved operation.

  5. 05

    Evidence

    Seal the decision and execution into a signed, verifiable chain.

Deterministic outcomes

See policy decide before anything executes.

These are real decision classes exercised by the BoundRunner policy suite. Caller-supplied risk never becomes authority.

Review the security model
normalized actionkubernetes.workload.deploy
environmentproduction
agent digestverified
policy decision
REQUIRE_APPROVAL

Production mutation requires an independent platform operator.

production-guardrails / v1.4.2

The operating result

More useful autonomy. A smaller blast radius.

01

Move faster without blind trust

Let low-risk work continue automatically while production, privileged, and destructive actions hit explicit control points.

02

Keep credentials away from agents

Broker reduced, short-lived authority only after identity, policy, and approval checks succeed.

03

Answer what happened

Tie every attempted side effect to an actor, deployment, policy version, approval, credential grant, and signed evidence event.

Built for the systems agents touch

One policy boundary across code and infrastructure.

Repository operations Kubernetes workloads Internal APIs and MCP Agent and deployment identity

Design-partner program

Put one consequential agent workflow under control in six weeks.

We map the action surface, write the first policy pack, connect identity and credentials, deploy into your environment, and leave your team with a verified evidence trail.

Fixed-scope pilotFrom $7,500One workflow · up to three existing connectors · deployment includedDiscuss your workflow Not ready to pilot? Start with the $2,500 readiness sprint.