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Amid the global digital transformation wave, enterprises enjoy data dividends while facing unprecedented data sovereignty challenges. The EU’s General Data Protection Regulation (GDPR) has become a benchmark, inspiring countries worldwide to introduce or strengthen data protection laws.
According to UNCTAD statistics, 77% of countries (194 total) have either completed data security and privacy legislation or proposed draft laws. This includes most nations like the EU, US, China, Russia, India, Australia, Canada, and Japan. As digital transformation advances, data security and privacy issues grow increasingly critical, making modern data protection legislation a global trend.
Against tightening global data regulations and broken “sovereign cloud promises,” AI-powered enterprise cloud emerges as the key solution for enterprises to achieve data sovereignty and establish secure, controllable data environments. It not only helps meet compliance requirements but also maximizes data value through localized deployment.
Data compliance complexity stems from dynamic regulations and regional variations. AI-driven compliance engines construct legal knowledge graphs, continuously scanning and analyzing global regulatory changes—for instance, identifying conflicts between GDPR and emerging laws like Personal Information Protection Laws—while automatically generating detailed remediation plans and alerts. This enables enterprises to swiftly adapt to policy changes and navigate complex global compliance challenges.
Ensuring data sovereignty requires both protecting local data from cross-border interference and meeting AI applications’ growing computational demands. An intelligent infrastructure that secures local data while efficiently supporting AI computing is essential. AI-powered enterprise cloud achieves this through intelligent scheduling, computing optimization, and dynamic resource allocation, creating controllable, transparent, and efficient data environments. This ensures local data integrity and compliance while enabling enterprises to fully leverage data value within autonomous environments, establishing true data sovereignty infrastructure to support digital transformation and AI enablement.
ZStack’s next-gen AI infrastructure platform ZStack AIOS centers on AI, helping enterprises achieve innovation across computing, model, and operational layers. It decouples heterogeneous computing silos, implements granular GPU management, significantly reduces AI costs, and improves GPU utilization. Through dynamic scheduling of heterogeneous resources, ZStack AIOS enhances efficiency, ensuring optimal AI application performance and accelerating enterprise AI adoption. Recognized for technical excellence, ZStack was listed by Gartner as a representative Chinese AI Infra provider.
At data sovereignty’s core lies storing critical data in local enterprise clouds to ensure judicial inviolability. ZStack Cloud delivers comprehensive compute, network, and storage virtualization with multi-tenant management, ensuring complete data control. It enables local data residency, avoiding cross-border transfer risks. ZStack SDS distributed storage builds high-performance, reliable storage pools for massive localized data.
Data security depends not just on storage location but real-time access monitoring. Behavior analysis AI deployed in enterprise clouds can detect and block anomalous access as “intelligent gatekeepers.” ZStack’s Cloud Host Security Solution meets this need with virtual patching, agentless protection, intrusion detection, antivirus, and web reputation capabilities. It establishes comprehensive preventive measures, handles attacks in real-time, and supports post-incident forensics, creating multi-layered cloud host security.
As a leading infrastructure software provider in the AI era, ZStack has been committed since its 2015 founding to “let every company have its own cloud.” Its comprehensive product matrix covers virtualization, cloud platforms, container platforms, distributed storage, hyperconverged systems, cloud-native HCI, multi-cloud management, and database cloud platforms.
In the AI era, ZStack AIOS decouples heterogeneous computing silos, optimizes AI performance, and enables AI self-service to accelerate adoption. Recognized by Gartner as a Chinese AI Infra representative, ZStack promotes cloud technology democratization globally through its proprietary architecture and open-core approach. Supporting nine languages, ZStack Cloud has helped over 4,000 enterprises worldwide with digital transformation, including 1,000+ VMware-to-ZStack migrations.
Q1: What is data sovereignty and why is it critical for enterprises?
A: Data sovereignty refers to a nation’s complete control over data within its jurisdiction, including storage, processing, transfer, and access. For enterprises, it’s vital for compliance, security, and business continuity. Non-compliance with evolving global regulations may result in heavy fines and reputational damage.
Q2: How does ZStack’s enterprise cloud support data sovereignty?
A: ZStack Cloud enables local data residency with multi-tenant management and granular access controls. Combined with ZStack SDS distributed storage, enterprises build high-performance local storage pools, eliminating cross-border data transfer risks.
Q3: What role does AI play in safeguarding data sovereignty?
A: AI serves as an “intelligent gatekeeper”—monitoring regulatory changes for compliance and detecting anomalous access patterns. ZStack’s security solutions leverage AI for real-time threat prevention and forensic analysis.
Q4: How does ZStack address complex global compliance challenges?
A: Through multi-layered solutions including cryptographic security evaluations that meet stringent standards for compliant infrastructure.
Q5: How does VMware-to-ZStack migration support data sovereignty strategies?
A: ZStack’s professional VMware-to-ZStack migration services enable gradual transition of workloads to ZStack’s enterprise cloud, shifting from external dependency to autonomous control and strengthening data sovereignty.