01 / EXECUTION BOUNDARY
Runtime Policy Enforcement
Every tool call, API request, and state change is evaluated against defined policies before execution. Decisions happen in milliseconds with zero added latency to the workload.
Production Runtime Control Plane
The runtime control plane
for production AI.
RuntimeControlPlane intercepts every agent action at execution time, evaluates it against policy, and enforces decisions before anything reaches production systems.
The Shift
AI agents need governance at runtime, not after the fact.
As agents move from prototypes into production workflows, the critical layer is no longer just observability or orchestration. It is the control surface that sits between an agent’s decision and its real-world effect — evaluating every action against policy in real time.
02 / INTERVENTION
Real-time Control
Pause, approve, deny, or roll back agent actions mid-execution. Human-in-the-loop and automated escalation paths are built into the control loop.
03 / EVIDENCE
Complete Audit Surface
Every decision, context, and outcome is captured as structured, queryable evidence — ready for compliance, security reviews, and incident response.
Architecture
The control plane sits between agents and production systems.
This separation of concerns is the same pattern used in networking and Kubernetes: the control plane makes decisions, the data plane executes them.
Policy Layer
Defines permissions, risk thresholds, approval workflows, and business rules as enforceable code.
EVALUATED
Interception Layer
Captures every agent action before it reaches external systems or tools.
ENFORCED
Decision Layer
Evaluates context, intent, and policy in real time and returns allow / deny / escalate.
DECIDED
Audit Layer
Records every decision, input, output, and intervention as tamper-evident evidence.
RECORDED
Sub-10ms
Policy evaluation latency at global scale.
Framework Agnostic
Works with LangGraph, CrewAI, custom agents, and any runtime.
Intervention Ready
Pause, approve, or rollback actions in real time.
Enterprise Ready
Built for security, compliance, and audit requirements.
Who It’s For
Built for teams operating agents at scale.
RuntimeControlPlane is designed for organizations that need to run autonomous agents safely in production environments.
PLATFORM & INFRA TEAMS
AI Platform Engineering
Provide a governed runtime layer that all agent frameworks and teams can use without each one building their own controls.
SECURITY & RISK
Security & Compliance
Enforce least-privilege access, prevent unauthorized actions, and maintain complete audit trails for every agent decision.
OPERATIONS
Agent Operations
Monitor fleet health, set budgets and guardrails, intervene when needed, and maintain operational control across hundreds of agents.
Get in touch
Ready to add runtime control to your AI systems?
Whether you're evaluating options, planning a pilot, or have specific technical questions, we'd like to hear from you.
All inquiries are reviewed by the team. We typically respond within one business day.