Hammerspace and Secuvy Partner to Make At-Scale Data AI-Ready, Fast and Safe, Across On-Premises and Cloud
Hammerspace, the high-performance data platform for AI anywhere, today announced a partnership with Secuvy to deliver a “Data-First” approach that turns raw data into secure AI outcomes. Together, the companies unify distributed unstructured data into a global namespace and continuously discover, classify, catalog, and control it across on-premises and cloud.
Enterprise AI is hitting a hard wall, not just with compute demands, but also due to data sprawl and rising costs with no proven ROI. Unstructured data is fragmented across edge sites, legacy NAS systems, high-performance file systems, object stores and multiple clouds, often governed inconsistently. AI pipelines amplify risk by pulling from large, diverse datasets that may include confidential information. Without continuous discovery and classification, organizations risk exposing sensitive data in AI pipelines, losing track of what was used, and missing high-value insights.
Together, Hammerspace and Secuvy keep data continuously AI-ready as it changes, so governance and access controls stay current from PoC to production.
Hammerspace provides the performance and orchestration layer so AI pipelines can reach distributed file and object data in place and move only what’s needed to the right compute at the right time.
Secuvy adds the intelligence layer, continuously identifying sensitive data and associated risks so privacy and governance controls can be applied consistently across hybrid and multi-cloud environments.
mage: The Integration of Hammerspace and Secuvy: A Data-First Model that Makes Data AI-Ready
Benefits of Hammerspace and Secuvy Partnership
Hammerspace and Secuvy enable a true Data-First model that makes data AI-ready. The integrated platform understands what the data is, where it lives, and the risk it carries, then controls how it’s used and where it can move, without forcing enterprises to rearchitect projects. Copying data drives up costs and increases risk: when data is duplicated across systems, governance breaks down and auditing, tracking, and securing it becomes difficult, allowing sensitive data to slip into AI pipelines without clear lineage or policy enforcement.
With the Hammerspace + Secuvy “Data-First” integration, organizations can make data AI-ready and enable:
One Global View – Unify distributed unstructured data into a global namespace across edge, on-premises, and multi-cloud
Sensitive Data Visibility – Continuously discover and classify sensitive data (PII/PHI/financial/IP) across file and object stores before it enters AI pipelines
Policy-Controlled Access – Catalog and control data in place using policies based on data attributes and risk
Continuous Compliance – Maintain consistent security and audit controls as data moves across sites and clouds—without copy-first silos
Just-In-Time Data – Move only what’s needed, when it’s needed, with intent-based data movement to compute
Use What You Have – Leverage existing storage as the foundation and free data to be processed wherever GPUs are available
This entry was posted on March 10, 2026 at 9:09 am and is filed under Commentary with tags Hammerspace. You can follow any responses to this entry through the RSS 2.0 feed.
You can leave a response, or trackback from your own site.
Hammerspace and Secuvy Partner to Make At-Scale Data AI-Ready, Fast and Safe, Across On-Premises and Cloud
Hammerspace, the high-performance data platform for AI anywhere, today announced a partnership with Secuvy to deliver a “Data-First” approach that turns raw data into secure AI outcomes. Together, the companies unify distributed unstructured data into a global namespace and continuously discover, classify, catalog, and control it across on-premises and cloud.
Enterprise AI is hitting a hard wall, not just with compute demands, but also due to data sprawl and rising costs with no proven ROI. Unstructured data is fragmented across edge sites, legacy NAS systems, high-performance file systems, object stores and multiple clouds, often governed inconsistently. AI pipelines amplify risk by pulling from large, diverse datasets that may include confidential information. Without continuous discovery and classification, organizations risk exposing sensitive data in AI pipelines, losing track of what was used, and missing high-value insights.
Together, Hammerspace and Secuvy keep data continuously AI-ready as it changes, so governance and access controls stay current from PoC to production.
mage: The Integration of Hammerspace and Secuvy: A Data-First Model that Makes Data AI-Ready
Benefits of Hammerspace and Secuvy Partnership
Hammerspace and Secuvy enable a true Data-First model that makes data AI-ready. The integrated platform understands what the data is, where it lives, and the risk it carries, then controls how it’s used and where it can move, without forcing enterprises to rearchitect projects. Copying data drives up costs and increases risk: when data is duplicated across systems, governance breaks down and auditing, tracking, and securing it becomes difficult, allowing sensitive data to slip into AI pipelines without clear lineage or policy enforcement.
With the Hammerspace + Secuvy “Data-First” integration, organizations can make data AI-ready and enable:
Learn More:
Share this:
Like this:
Related
This entry was posted on March 10, 2026 at 9:09 am and is filed under Commentary with tags Hammerspace. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.