FedRAMP High
Integrate customer-hosted AI into a documented high-assurance system boundary.
Evidence connected to your system
- System inventory, architecture and boundary changes
- SSP implementation descriptions and shared responsibilities
- STIG configuration results, remediation and retest records
- Security impact analysis and continuous-monitoring artifacts
How the platform supports the work
Select the customer profile, authorized assets, applicable requirements, and evidence owners. Connect approved data sources and schedule available tools. Review findings, preserve source artifacts, assign remediation, and retain retest results with the report.
AI Firewall supports runtime data and tool policies. AI HealthCheck contributes model evaluation evidence. AI SOAR coordinates agents, technical checks, human review, and evidence reporting. Your assessor determines whether the evidence satisfies the applicable requirement.
Read the official FedRAMP High source ↗Deployment and authorization
ZeroTrusted.ai is enterprise software that deploys inside the customer's own environment and authorization boundary: their private cloud, their own cloud tenancy, on-premises, or isolated networks. It secures the customer's AI for security, privacy, and reliability. The current installation runs on Microsoft Azure FedRAMP High infrastructure with STIG-hardened Kubernetes and applications. The software also deploys on AWS, including GovCloud, Google Cloud, Red Hat OpenShift, and isolated or air-gapped networks that use only internal first-party AI. It is multi-tenant software that can be added to an existing authorization boundary. The customer supplies storage, compute, and AI. ZeroTrusted.ai does not claim a FedRAMP authorization. For a customer-operated multi-tenant deployment, we provide configuration and SSP information to support inventory updates, authorization-boundary documentation, security impact analysis, control responsibilities, and related assessment artifacts. Authorization remains specific to the customer's system and assessment.