Agentic Control Plane
Access control and evidence for AI, software and connected machines.
FortEmerald is enterprise software between requests from people, applications and AI agents and the data, infrastructure and machines they can affect. It applies identity and policy, limits task context, routes work to approved AI models or deterministic services when required, authorizes bounded actions and records decisions and reported outcomes.
A request passes through FortEmerald identity, context, AI routing, authorization, connectivity and evidence controls before reaching an application, infrastructure service or connected machine.
System position and request path.
Companies connect FortEmerald to their existing identity, data, AI, application and machine environments. Each governed request passes through the same policy path before data is disclosed or a bounded command is released to a destination.
Request intake
A person, application, workload or AI agent submits a read, check or action request with its identity, purpose and target.
Policy and authorization
FortEmerald applies permissions, limits available context and routes to an approved model or service when required. A permitted request receives an exact disclosure or time-bound action.
Execution and evidence
Approved data is returned or a narrow connector releases the command. Available acknowledgements, reported results and observed state are linked to the control record.
Eight control domains form the platform.
The domains are operating responsibilities within one control plane: runtime, identity, context, AI routing, execution, evidence, cryptography and integration.
View the platform architectureThe enterprise subscription.
- Platform access
- The control plane and administrative console for policies, approvals, AI routing, action controls and evidence review.
- Deployment software
- Runtime software for the selected cloud, hybrid, on-premises or isolated architecture.
- Connector scope
- Copper integrations are selected for the identity systems, applications, infrastructure APIs and machine gateways in scope. Additional connectors are defined against destination interfaces and customer test environments.
- Annual pricing basis
- Subscription scope is based on the deployment architecture, connected systems and machines, deployed control-plane runtimes and governed request volume.
- Deployment-specific scope
- Implementation, custom connectors, dedicated infrastructure, managed AI usage, extended evidence retention and higher support requirements are defined for each customer environment.
- Customer teams
- Operations and autonomy teams define governed workflows. Security, technology, AI platform and engineering teams administer policy, deployment, cryptography and integrations.
Four deployment models.
FortEmerald runs as a central cloud service, in a hybrid architecture with local enforcement, on customer infrastructure or in an isolated environment. The policy and evidence model remains consistent across all four options. Provider controls and local machine safety systems remain authoritative for execution.
Compare deployment modelsRepresentative governed operations.
The same request, authorization, execution and evidence model applies to digital infrastructure and connected machines.
Tenant VM Resizing
A virtual-machine change is evaluated against tenant, quota, region and maintenance-window policy before release.
→Drone Pre-Flight Inspections
A mission package is released after aircraft, operator, airspace, weather and mission checks.
→Production Line Adjustments
A bounded setpoint or sequence change is released while local machine safety remains authoritative.
→Satellite Command Approval
A time-bound command is released after operator approval and target-state validation.
→Platform evaluation for a defined operation.
A platform session maps one company workflow, its requesters and target systems, policy and deployment requirements, required integrations and subscription scope.