Mission Fit/Use Cases

Federal, Defense, and Intelligence

Government missions increasingly depend on workloads operating across government-owned systems, commercial and sovereign cloud, coalition and partner environments, AI infrastructure, edge systems, and other platforms that no single organization fully controls.

Polaris enables agencies to establish and enforce a consistent trust model across that infrastructure.

Sensitive workloads can be continuously required to prove that they are the expected workload, running in the expected location and environment, with the required software, configuration, and runtime state. Access to keys, protected data, AI models, mission services, communications, and other sensitive resources can remain conditional on that proof.

If the workload moves, its runtime state changes, required integrity measurements are no longer satisfied, or another customer-defined trust condition fails, access can be restricted or revoked and an appropriate response triggered.

This model is particularly relevant for hybrid and sovereign cloud, classified and high-assurance computing, AI and GPU workloads, supply-chain assurance, cross-domain and cross-organization collaboration, zero-trust architectures, and systems operating in contested or intermittently connected environments.

Polaris allows organizations to verify and govern compute they own as well as compute operated by commercial providers, mission partners, suppliers, and other third parties.

Civilian Agencies and Critical Infrastructure

Civilian agencies and critical infrastructure operators increasingly process sensitive information and operate essential systems across commercial, shared, outsourced, and third-party infrastructure.

Traditional security controls can establish who or what is requesting access, but they often provide limited assurance about the current state of the compute environment making that request. Polaris adds that missing layer.

Polaris provides customer-verifiable evidence of what workload is running, where it is running, and whether the underlying environment remains trusted throughout execution.

Access to protected data, models, keys, applications, and services can then be conditioned on that evidence without requiring Polaris to inspect the underlying information or making the infrastructure provider the sole source of trust.

The same trust model can span conventional and confidential computing systems, allowing organizations to strengthen existing infrastructure while adopting hardware-isolated environments where higher levels of assurance are required.

AI and GPU Infrastructure

AI workloads place high-value assets, including models, training data, inference data, credentials, and proprietary algorithms, into increasingly distributed and accelerated computing environments.

Polaris allows access to those assets to depend on continuous proof of the compute environment consuming them.

Organizations can verify the identity, integrity, location, and runtime state of AI and GPU workloads before releasing protected models, data, keys, or services, and continue evaluating those conditions while the workload executes.

This model can be applied across confidential GPU environments as well as conventional AI infrastructure, giving organizations a consistent mechanism for governing sensitive AI workloads across cloud, sovereign, on-premises, and partner-operated platforms.

Sovereign and Hybrid Cloud

Data sovereignty and infrastructure sovereignty increasingly require more than contractual assurances about where workloads and data should reside.

Polaris can provide cryptographically verifiable evidence of the environment and location in which supported workloads are executing and continuously evaluate that evidence against customer-defined policy.

Organizations can make access to sensitive data, keys, applications, and services conditional on workloads remaining within approved infrastructure, regions, jurisdictions, or operating environments.

This gives customers an independent mechanism to verify and enforce sovereignty requirements across government, commercial, sovereign, and hybrid cloud infrastructure.

Edge and Disconnected Operations

Remote, forward-deployed, and mission systems cannot always depend on continuous connectivity to centralized security services.

Polaris enables verification and policy enforcement within the operating environment, keeping trust decisions close to the workload.

Systems can continue evaluating workload and platform state using locally available evidence and approved policy. When required trust conditions can no longer be established, the environment can restrict access to sensitive resources, isolate affected workloads, halt execution, alert operators, or trigger other customer-defined responses.

This allows organizations to maintain enforceable security policy even where connectivity, infrastructure ownership, physical access, and operating conditions cannot be assumed.

Supply Chain and Partner-Operated Infrastructure

Organizations increasingly depend on infrastructure, software, and services operated by vendors, integrators, cloud providers, mission partners, and other third parties.

Polaris allows trust in those environments to be based on independently verifiable evidence rather than infrastructure ownership alone.

Customers can define the conditions under which partner-operated workloads are trusted, continuously evaluate whether those conditions remain satisfied, and condition access to sensitive resources on the resulting trust verdict.

This creates a common trust model across organizational boundaries while allowing each customer to retain control over its own policy and enforcement decisions.