The Control Plane: Hot-Swappable Authority for Agentic AI
While The Forge serves as the laboratory where safety policies are developed and stress-tested, the Noir Policy Manager functions as the operational command layer for production AI infrastructure.
Its purpose is straightforward: eliminate the delay between discovering a threat and enforcing a fix.
In modern adversarial environments, waiting for a full CI/CD deployment cycle can leave systems exposed for minutes—or longer. The Control Plane removes that dependency by allowing runtime policy enforcement to be updated instantly, without interrupting live applications.
Decoupling Safety from Application Logic
The architecture behind the Control Plane separates policy enforcement from application code.
This separation allows security and platform teams to update guardrails independently of engineering release cycles. Filtering thresholds, validation rules, key rotations, and emergency protections can all be modified centrally while production services continue operating normally.
Operational capabilities include:
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Active Policy Endpoints Monitor the status of the Noir PDP (Policy Distribution Point) infrastructure in real time, including synchronization health, active policy versions, and regional propagation across IAD, FRA, and SIN deployments.
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The Switchboard A centralized intervention console for high-priority runtime actions. Teams can instantly enable Global PII Masking, enforce Strict Schema Validation, or activate a Read-Only Policy Freeze during active incidents.
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The Emergency Kill Switch A break-glass control capable of immediately halting outbound inference traffic if catastrophic policy failures or compromised model behavior are detected.
The result is an operational model where safety enforcement behaves more like infrastructure orchestration than static middleware configuration.
Immutable Safety Governance
Runtime control is only part of the equation. Production AI systems also require auditability and historical accountability.
The Policy Manager maintains an immutable release ledger that tracks every policy modification and deployment event.
This includes:
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Versioned Releases Promote or revert policy sets such as
v2.3.0orv2.4.1with a single action. -
Cryptographic Safety Hashes Every enforcement package is sealed with SHA-256 verification hashes to guarantee integrity and prevent unauthorized drift.
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Sub-Second Rollbacks If an updated policy introduces excessive false positives or operational instability, teams can instantly restore the last known good state without requiring application redeployment.
This creates a traceable chain of custody for safety enforcement across the entire runtime lifecycle.
The Zero-SDK Enforcement Model
One of the most significant capabilities of the Policy Manager is support for the Bifrost Proxy architecture.
Many organizations cannot easily refactor production systems to integrate additional SDKs or embedded policy libraries. The Bifrost path removes that requirement entirely.
By redirecting the OPENAI_BASE_URL to the Noir proxy endpoint, applications automatically inherit the latest runtime policies without code modifications.
The proxy layer handles:
- Policy synchronization
- Signature verification
- Runtime enforcement
- Edge-level rail execution
- Request validation and filtering
This enables Zero-SDK adoption with effectively negligible latency overhead, making enterprise-scale rollout significantly easier across heterogeneous environments.
Closing the Remediation Loop
The Control Plane completes the Noir runtime safety lifecycle:
- Identify vulnerabilities using The Probe
- Validate mitigations inside The Forge
- Broadcast enforcement updates through the Policy Manager
- Archive compliance evidence within The Vault
Together, these systems create a continuous remediation pipeline for agentic AI environments—one designed for rapid response, distributed enforcement, and operational resilience.
Access the Control Plane and take direct control over runtime AI safety infrastructure.