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Everpure Aligns Infrastructure Identity with Data Governance Responsibilities
Pure Storage’s name change reflects its evolving role maintaining lineage, provenance, and trust beneath enterprise AI systems.
02/24/2026
Key Highlights
- The transition from Pure Storage to Everpure aligns the company’s identity with its role in maintaining provenance and control of enterprise data across environments.
- The announced intent to acquire 1touch introduces continuous discovery and classification, enabling the system to maintain awareness of data ownership, lineage, and governance requirements.
- Metadata integrity and provenance now determine whether enterprise systems remain usable, even when underlying data remains intact.
- The company’s architecture functions as coordinating infrastructure responsible for maintaining trusted access to enterprise data over time.
The News
Pure Storage introduced Everpure as the next phase of its platform evolution, consolidating its metadata-driven architecture, orchestration capabilities, and unified infrastructure model under a single identity. The system manages data services across on-premises and cloud environments, providing consistent policy enforcement and lifecycle management across distributed infrastructure.
The company also announced its intent to acquire 1touch, a data discovery and semantic intelligence startup. These capabilities introduce continuous classification and lineage tracking across structured and unstructured environments, allowing the system to maintain awareness of data ownership, relationships, and governance requirements as data moves across infrastructure. For more information, read the company press release.
Analyst Take
Everpure formalizes the role the company has been building toward over the past decade. Its design now functions as coordinating infrastructure responsible for ensuring enterprise data remains trusted, accessible, and controlled across environments.
Storage systems historically provided persistence and performance. That foundation remains essential. Enterprise AI systems introduce continuous execution, persistent data dependencies, and strict governance requirements that infrastructure must maintain over time.
This places responsibility on the infrastructure layer to maintain awareness of data location, ownership, lineage, and governance state. Without that awareness, lineage breaks, controls cannot be enforced consistently, and enterprise systems cannot interpret or trust the data required to function. This environment is coordinated through a control plane that enforces policy and preserves system integrity across distributed environments.
In our view, the announced intent to acquire 1touch strengthens this capability. Discovery and classification introduce awareness directly into the infrastructure layer. The system maintains current knowledge of relationships and governance requirements as data moves across environments. Origin and history remain intact, and enforcement remains reliable because infrastructure maintains direct awareness of the data it manages.
This capability determines whether enterprise systems can access and trust the data required to function. Failures increasingly occur when coordination systems lose visibility, not when data itself is lost. Identity systems stall, metadata becomes unreachable, or enforcement becomes inconsistent. Infrastructure must preserve integrity across these layers to ensure enterprise systems remain usable.
Everpure reflects this progression. The system preserves provenance, enforces controls, and maintains trusted access across distributed environments. These responsibilities form part of the infrastructure foundation beneath enterprise AI systems.
What Was Announced
Everpure unifies the company’s metadata-driven architecture, orchestration capabilities, and infrastructure abstraction into a cohesive system coordinating enterprise data across environments. At its core, the architecture maintains metadata describing data location, configuration, provenance, and policy state. This allows infrastructure to enforce policies consistently, maintain lifecycle continuity, and preserve data integrity independent of physical system boundaries.
Fleet-level orchestration allows infrastructure resources to function as part of a unified system rather than isolated deployments. Access, lifecycle, and protection policies apply consistently across environments, ensuring governance continuity regardless of where data resides.
The intent to acquire 1touch introduces continuous discovery, classification, and semantic awareness. These capabilities allow infrastructure to maintain awareness of data ownership, relationships, and policy requirements across structured and unstructured environments as data moves between systems. This capability extends the architecture’s responsibility beyond managing infrastructure resources to maintaining governance continuity and trusted access to enterprise data across distributed environments.
Looking Ahead
Everpure establishes the foundation for the company to move further up the infrastructure stack, where provenance, governance, and system awareness determine whether enterprise systems remain usable. This places the system alongside infrastructure layers responsible for orchestrating data access and enforcing controls across distributed environments.
As this evolves, ecosystem relationships will shift. Some partnerships will deepen as ecosystem providers integrate lineage awareness and governance capabilities into their own environments. Others will require clearer separation as infrastructure vendors, data platforms, and cloud providers expand their own coordination and control capabilities.
Examples include data platforms such as Snowflake and Databricks, cloud providers including AWS, Microsoft Azure, and Google Cloud, and orchestration environments such as VMware and Kubernetes. These layers coordinate how enterprise data is accessed and consumed, placing Everpure alongside infrastructure responsible for managing and controlling enterprise data across environments.
This transition will also drive changes across the company’s go-to-market motion. Marketing and sales materials must clearly communicate the system’s role in preserving provenance, maintaining lineage integrity, and ensuring trusted access. Legacy materials focused on performance and capacity alone will need to be replaced. Sales teams must position the system within broader enterprise data and AI environments, where trust and control determine reliability. Partner enablement and training will need to evolve to ensure ecosystem partners understand how the system integrates with data platforms, orchestration layers, and cloud environments.
The defining measure of success will be the system’s ability to preserve provenance, maintain lineage integrity, and ensure enterprise systems can reliably access and trust their data across distributed environments.
Don Gentile | Analyst-in-Residence -- Storage & Data Resiliency
Don Gentile brings three decades of experience turning complex enterprise technologies into clear, differentiated narratives that drive competitive relevance and market leadership. He has helped shape iconic infrastructure platforms including IBM z16 and z17 mainframes, HPE ProLiant servers, and HPE GreenLake — guiding strategies that connect technology innovation with customer needs and fast-moving market dynamics.
His current focus spans flash storage, storage area networking, hyperconverged infrastructure (HCI), software-defined storage (SDS), hybrid cloud storage, Ceph/open source, cyber resiliency, and emerging models for integrating AI workloads across storage and compute. By applying deep knowledge of infrastructure technologies with proven skills in positioning, content strategy, and thought leadership, Don helps vendors sharpen their story, differentiate their offerings, and achieve stronger competitive standing across business, media, and technical audiences.