Data sovereignty
Keep data subject to the rules of the intended jurisdiction through location control, encryption, access governance, segmentation, and clear data boundary design.
Residency | Privacy | Keys | IAMSolution
Sovereign Cloud
Arcfra Enterprise Cloud Platform helps organizations keep control over data, operations, and technology while running VM, Kubernetes, and AI workloads in customer-selected locations.
Data Sovereignty Keep data, backups, logs, and replication inside approved jurisdictions.
Operational Control Run and audit infrastructure through customer or designated local operations.
Technology Autonomy Deploy a full software stack on customer-selected x86 infrastructure.
Built-in Security Use IAM, network isolation, micro-segmentation, backup, and DR controls.
Disconnected Ready Support critical sites with controlled updates and air-gapped operating patterns.
Predictable TCO Reduce licensing, hardware, and operational overhead with one platform.
Gartner aligned model
Target the right level of sovereignty before selecting technology.
Digital sovereignty is not a single feature. Gartner frames it around data, operational, and technological sovereignty, with higher autonomy often requiring more deliberate trade-offs in service model, operating model, and upgrade control. Arcfra positions AECP for organizations that need strong operational and technological control without giving up modern cloud capabilities.
Operational sovereignty
Run cloud infrastructure with local visibility and control. Customers or approved local partners can manage, monitor, audit, and maintain the environment.
Local ops | Monitoring | Audit | PolicyTechnological sovereignty
Preserve continuity and autonomy by running a full-stack private cloud on customer-controlled infrastructure, including isolated or disconnected deployment patterns for critical environments.
Autonomy | Disconnected | Air-gapped readyAECP capability mapping
A full-stack cloud platform for sovereignty requirements.
AECP combines Arcfra Cloud Operating System, Virtualization Engine, Block Storage, File Storage, Network Service, Kubernetes Engine, Operation Center, and Backup and DR. This turns sovereignty from a policy-only objective into an infrastructure design that can be deployed, operated, and audited.
Encryption, keys, and protected data services
Design encrypted storage and backup domains around customer-controlled key policies, local data placement, and workload-level recovery requirements.
Data residency and privacy guardrails
Keep VM, container, file, backup, and replicated data inside approved locations through explicit placement, replication, and DR policies.
Access control and operations visibility
Use centralized management to govern clusters across sites, define operational responsibility, and maintain visibility into health and change activity.
Local operations with controlled change
Operate the cloud directly, keeping platform control, maintenance windows, software updates, and support access aligned with local requirements.
Traffic and management boundary design
Separate workload networks, tenant networks, storage paths, and management access with VPC networking and micro-segmentation.
Disconnected and air-gapped patterns
Deploy critical environments where external connectivity, software updates, and support workflows are governed by customer approval.
Integrated AECP Stack
Single PlatformGovernance & Access
AOC management, identity integration, role control, cluster visibility, and operational audit workflows.
Data Services
Distributed block and file storage, multi-level availability, backup, active-active clusters, and async replication.
Network Isolation
VPC networking, distributed firewall, micro-segmentation, and load balancing for VM, container, and physical services.
Compute & Kubernetes
KVM-based virtualization, VM lifecycle management, production Kubernetes, bare-metal options, and pre-integrated add-ons.
Backup & DR
Native agentless backup, stretched active-active clusters, async replication, and workload protection across sites.
Deployment Control
Pure software stack on mainstream x86 servers, broad hardware compatibility, customer-selected locations, and local upgrade control.
Deployment blueprint
From private cloud foundation to sovereign cloud operating model.
Sovereign cloud programs fail when infrastructure, governance, and operations are evaluated separately. Arcfra’s approach starts with business impact analysis, then maps sovereignty targets to concrete platform boundaries, operating roles, and continuity design.
Define the sovereignty target
Prioritize data, operational, or technological sovereignty based on business impact, regulatory exposure, and workload criticality.
- Business impact analysis and workload tiering
- Jurisdiction, data boundary, and supplier-risk review
- Service-functionality versus sovereignty trade-off
Design the control boundaries
Document where data, management traffic, telemetry, support access, and backup copies may move, and which parties can operate each layer.
- Management plane and workload network separation
- Identity, access, audit, and approval controls
- Data residency, replication, and deletion policy
Deploy the sovereign platform
Build AECP on customer-selected x86 infrastructure across core data centers, regional sites, factories, edge locations, or partner-operated facilities.
- Virtualization, storage, networking, security, and Kubernetes
- Multi-site AOC management with local operations
- Hardware compatibility and software-defined scale-out
Prove continuity and autonomy
Validate recovery, local operations, software update approval, support access procedures, and disconnected operations for critical workloads.
- Active-active clusters, backup, and async replication
- Disconnected or air-gapped operating procedures
- Audit evidence and runbook-based operations
Priority use cases
Sovereign infrastructure for regulated and AI-driven workloads.
AI adoption, geopolitical uncertainty, and operational resilience are increasing demand for cloud environments that can stay under local control. AECP supports both traditional applications and cloud-native services in the same sovereign platform.
Financial services
Host regulated systems, databases, VDI, and analytics workloads with local operations, micro-segmentation, and controlled replication.
Government and public sector
Operate critical services in customer-controlled locations with documented access boundaries and disconnected deployment options.
Distributed manufacturing
Run multi-factory VM and container platforms close to production systems while centralizing visibility across sites.
Sovereign AI infrastructure
Keep model-serving, inference data, and AI-adjacent systems inside approved infrastructure for latency, privacy, and autonomy needs.
Healthcare and life sciences
Protect sensitive clinical, research, and patient data with local data placement, access governance, and resilient platform operations.
Energy and critical infrastructure
Run operational systems in controlled environments that support local autonomy, site-level resilience, and documented recovery procedures.
Evaluation checklist
Questions every sovereign cloud should answer.
Use these checkpoints to evaluate sovereign platforms. They help separate generic private cloud claims from real sovereign cloud readiness.
Which sovereignty level is required?
Classify workloads by data, operational, and technological sovereignty needs before choosing a deployment model.
Where can data and backups reside?
Define approved locations for primary storage, snapshots, backup repositories, DR copies, logs, and telemetry.
Who can operate and access the environment?
Specify customer, partner, and vendor roles for management, support, emergency access, patching, and audit evidence.
Can management traffic be documented?
Document control-plane flows, support paths, identity integrations, and any metadata that may leave the target jurisdiction.
Can the platform run disconnected?
Validate software update approval, license behavior, support process, monitoring, and operational continuity during isolation.
Does the platform still meet workload needs?
Evaluate VM, Kubernetes, storage, network security, DR, performance, and operational simplicity before considering sovereignty features alone.
Plan a sovereign cloud architecture around your real control requirements.
Arcfra can help partners and customers assess workload sovereignty needs, map them to AECP capabilities, and design a local operating model that supports compliance, resilience, and long-term autonomy.