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Cryptographic Validation Moves into the Data Plane, Redefining Requirements for AI Infrastructure
FIPS 140-3 positions Hammerspace to support regulated AI workloads, where encryption must persist as data moves between locations and platforms.
4/01/2026
Key Highlights
- FIPS 140-3 defines how cryptographic modules are implemented, tested, and validated for regulated industries.
- Cryptographic enforcement is extending into the data plane, where data is accessed, moved, and governed.
- Hammerspace integrates FIPS-validated cryptography with a global namespace and policy-driven orchestration.
- Distributed AI workloads require encryption to persist across environments without disrupting access or performance.
- FIPS 140-3 compliance enables participation in federal, defense, healthcare, and financial markets
The News
Hammerspace announced support for FIPS 140-3 validated cryptographic modules, enabling its platform to meet U.S. government cryptographic security standards. Integration is planned for release by the end of 2026. The capability targets regulated industries, including federal, defense, healthcare, and financial sectors. It includes encryption for data in-flight and at-rest using validated modules, along with policy-driven governance. For more details, read the official company press release.
Analyst Take
FIPS 140-3 defines the cryptographic standard required for U.S. federal agencies and regulated industries. The framework specifies how cryptographic modules are built, validated, and operated, including algorithm selection, key management, entropy generation, and module integrity. Certification depends on independent testing through accredited laboratories, with validation tied to specific implementations and configurations.
Hammerspace applies this requirement directly within the data plane. Its platform combines validated cryptography with a global namespace and policy-driven orchestration. Encryption remains enforced as data is accessed, relocated, and governed across distributed infrastructure.
The evolution of AI infrastructure is driving this change. Early implementations concentrated data for training within contained boundaries. Current architectures support continuous inference, retrieval, and context assembly spanning on-premises infrastructure, clouds, and edge locations. In this model, the data layer coordinates access, movement, and reuse in real time, placing it in the execution path of AI workloads.
FIPS 140-3 raises the standard for how cryptographic modules function. The transition from FIPS 140-2 reflects updated requirements for algorithm strength, module assurance, and integrity. These characteristics align with regulated AI use cases, where information must remain protected, auditable, and governed.
Hammerspace’s support for FIPS 140-3 expands its reach into these markets. Federal, defense, healthcare, and financial sectors require validated cryptographic controls as a condition of deployment. As AI workloads move into production within these sectors, infrastructure must enforce security, governance, and data sovereignty while maintaining performance and accessibility. FIPS 140-3 validation will enable Hammerspace to meet these requirements and participate in procurement processes that depend on certified implementations.
The introduction of FIPS 140-3 also changes how platforms are evaluated. Validation applies to defined cryptographic modules and configurations, which requires alignment between architecture and production configurations. This establishes cryptographic validation as a procurement requirement that determines vendor eligibility.
Other vendors have embedded FIPS-aligned cryptography at different layers. Based on publicly available information, NetApp incorporates validated modules within ONTAP, applying encryption at the volume and aggregate level and extending protection through replication and protocol access. VAST Data integrates cryptographic controls within its software layer, connecting security with access control and compliance frameworks. WEKA embeds encryption within its distributed file system, supporting high-throughput data access patterns while maintaining protection.
Additional enterprise vendors, including Dell Technologies, IBM, and Everpure, deliver FIPS-aligned encryption within arrays and software-defined storage. These approaches secure data at rest and in transit within defined boundaries and support compliance requirements for regulated workloads.
Hammerspace extends enforcement beyond those boundaries. It applies cryptographic controls as data moves between locations and platforms, with policies governing placement, access, and sovereignty. This approach defines the current point of differentiation. Storage-centric implementations secure data within systems. Data-plane enforcement maintains compliance as data is actively moved and governed.
We see Hammerspace as among the early vendors to make this model explicit, aligning cryptographic validation with data orchestration as a core design principle rather than a supporting feature.
What Was Announced
Hammerspace announced support for FIPS 140-3 validated cryptographic modules, with integration planned for release by the end of 2026. The capability enables configurations aligned with U.S. federal cryptographic requirements.
The platform applies encryption to data in-flight and at-rest using validated modules. Cryptographic enforcement integrates with the global namespace, enabling consistent policy enforcement across on-premises infrastructure, cloud, and edge locations. These capabilities extend security enforcement into the data layer, where data is accessed, moved, and governed in real time. Unified access controls span file and object protocols, including NFS, SMB, and S3, enabling consistent enforcement across data types and access patterns. Policy-driven data placement governs where data resides, how it moves, and how it is used, supporting data sovereignty requirements.
Data protection capabilities include immutable snapshots, cloning, and WORM controls to support recovery and prevent unauthorized modification. Validation of FIPS 140-3 compliance requires independent testing of cryptographic modules and verification in production configurations.
Weaponizing Compliance: How Hammerspace’s FIPS 140-3 Pivot Redefines Security for Decentralized AI
Hammerspace’s pivot to FIPS 140-3 is a strategic necessity driven by the transition of AI from isolated laboratory experiments to high-stakes, decentralized production environments. By embedding these rigorous cryptographic standards directly into the data plane, Hammerspace addresses the security vacuum created when sensitive data frequently migrates between edge, on-premises, and multi-cloud nodes. This move shifts the competitive landscape, as traditional storage vendors that secure data at rest are increasingly viewed as insufficient for real-time AI workloads.
In our view, Hammerspace is effectively weaponizing compliance to differentiate itself, moving cryptographic validation from a checkbox requirement to an architectural advantage in data orchestration. For federal and highly regulated sectors, this provides a critical bridge between strict data sovereignty mandates and the operational agility required for continuous inference and RAG. As a result, by being an early mover in the FIPS 140-3 transition, we see Hammerspace providing an industry benchmark that compels competitors to re-evaluate how security is maintained during active data movement rather than just within the storage array.
Looking Ahead
Cryptographic validation is becoming a defining requirement for regulated and production AI workloads. The transition from FIPS 140-2 to FIPS 140-3 is accelerating vendor alignment with updated federal standards while expanding access to government, defense, healthcare, and financial markets.
Evaluation criteria are shifting as a result. Organizations are placing greater emphasis on how cryptographic enforcement integrates with data operations. Encryption must remain persistent and verifiable as data moves across clusters, cloud platforms, and edge locations. This requirement places cryptographic enforcement alongside metadata services, policy engines, and orchestration frameworks that determine how data is accessed and used.
Responsibility for these controls spans multiple teams. Storage, security, and platform groups each contribute to enforcing cryptographic policy within the data plane. Effective execution depends on coordination between key management, access control, and audit processes. Clear ownership models will determine how consistently organizations maintain compliance and operational control.
Performance considerations will shape adoption. Validated cryptographic modules introduce measurable effects on latency, throughput, and infrastructure utilization. AI pipelines depend on predictable data access, particularly in inference scenarios that operate across locations and platforms. Vendors must demonstrate that cryptographic enforcement performs reliably under these conditions.
The transition to FIPS 140-3 will also introduce near-term complexity. Existing deployments require assessment against updated standards, with validation tied to specific configurations. Some implementations will require reconfiguration or revalidation to align with current requirements. This effort will involve coordination between infrastructure, security, and application teams.
Moreover, we believe that organizations should consider Hammerspace because it fills the security vacuum inherent in decentralized AI by enforcing FIPS 140-3 cryptographic standards directly within the data plane during active movement. This architectural approach provides a bridge for highly regulated sectors, enabling them to balance strict data sovereignty mandates with the operational agility needed for real-time inference and RAG. By moving beyond traditional at-rest protection, Hammerspace offers a future-proof solution for enterprises that need to maintain continuous compliance as sensitive workloads shift across edge, on-premises, and multi-cloud environments.
Over the next 12 to 24 months, platforms that integrate cryptographic validation with data orchestration will gain traction in regulated AI environments. We expect vendors such as Hammerspace to advance this model by aligning cryptographic enforcement with data movement and policy as a core capability. These use cases require consistent enforcement of security, governance, and data sovereignty. Vendors that align cryptographic enforcement with data operations will define how AI workloads are secured and governed.
Ron Westfall | VP and Practice Leader for Infrastructure and Networking
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.
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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.