Built for enterprise AI outcomes
Secuvy discovers, classifies, and filters every source so your models see only the data that's compliant and right for each use case — with a verifiable data bill of materials proving exactly what's feeding your AI.
In partnership with



▶ Our CEO on the problem — and what Secuvy is · 1 min
Now on the Armada Bridge Marketplace
Secuvy joins the Armada Bridge Marketplace as a founding data management partner — discovering, classifying, and filtering data so only policy-approved data powers enterprise AI, wherever it runs.

Proven with Hammerspace
Watch raw, scattered data get classified, filtered, and routed in real time — with a verifiable data bill of materials proving exactly what's feeding your models.
▶ Hammerspace + Secuvy: the data flow, live
The challenge
Most AI programs don't fail at the model — they fail at the data.
Cost, risk, and time — six stakeholders judging one dataset from six angles. Pick your seat and see what Secuvy solves for you.
0%
of IT leaders cite classifying data for AI as their top technical challenge.
— Komprise, 2026 State of Unstructured Data Management ↗What does that mean for your seat?
Strategy & Cost
CEO
Most AI budgets get absorbed by data wrangling before a model ever ships. Filtering the inputs first means faster pilots, clearer ROI, and a story you can take to the board with confidence.
Cost
CFO
Scarce GPU and Tier-0 cycles get burned on duplicate, wrong-context data. Filtering upstream cuts the spend that never reaches a useful model — so every dollar of compute earns its keep.
Operations
CIO
Data scattered across systems is what stalls most AI programs. Secuvy connects, classifies, and filters at the source — agentless and on-prem-first — so projects move in weeks, not quarters.
Risk
CISO
Sensitive data can quietly slip into training sets and prompts — exposure that's costly to undo. Secuvy filters it out before it ever reaches the pipeline, with proof of what made the cut.
Time & Data
CDO
Up to 80% of effort goes to data prep, turning weeks into quarters. Self-learning classification and contextual linkage deliver context-right data on day one — no manual labeling marathon.
Time
Data Scientist
Hunting, deduping, and labeling eats the real work. Secuvy hands you filtered, labeled, use-case-ready datasets so you can build and iterate instead of wrangling sources.
The solution
See how Secuvy turns messy enterprise data into governed, AI-ready data — straight from the team.
Secuvy + Hammerspace: from messy data to AI-ready
The outcomes
What changes when only appropriate data feeds your AI.
Prove that PII, PHI, IP, and classified data stay out of training and inference — with lineage you can defend to a regulator, auditor, or board.
Cleaner, smaller datasets shrink GPU and storage costs and cut duplicates — so AI spend drives value instead of burning compute.
Replace months of manual scrubbing with continuous filtering. Idea to first results in days, not quarters.
A verifiable dBOM proves exactly what's feeding your AI — turning it from a promising pilot into infrastructure you can stand behind.
Under the hood
A self-learning model that classifies your data continuously — no rules to babysit.

An unsupervised engine that adapts to real content and gets more accurate as it runs — no constant rule management.

An unsupervised engine that adapts to real content and gets more accurate as it runs — no constant rule management.
The difference
Legacy tools were built for structured databases — not unstructured files and GenAI. Here's what changes with data filtering in front of your pipeline.
| The question | Before Secuvy | With Secuvy |
|---|---|---|
| What data is appropriate for each AI application? | Data prep falls behind as data grows, steadily raising the risk of bad input data. | Every source automatically discovered, classified, and governed. |
| Is that data accessible and optimally fed to pipelines? | Siloed visibility, underused hardware, and inappropriate data limiting results. | Unified visibility, GPU/storage optimization, and cleansed data. |
| Will production AI deliver ROI in time? | Quarters of prep before a single workload runs. | First results in days, with ROI compounding across the pipeline. |
| In a year? | A high-risk AI program — high odds of stalling, diluted outcomes, and data exposure. | A compounding advantage — AI constantly fed appropriate data, in time, and proof you can stand behind. |
On-prem, hybrid, SaaS, or cloud — Secuvy connects across 250+ sources without disrupting production.
On-Prem
Windows File Servers, NFS, SharePoint, NAS
Hybrid
Mixed on-prem + cloud, air-gapped & regulated estates
SaaS
Microsoft 365, Salesforce, Slack, Jira, ServiceNow
Cloud
AWS, Azure, Google Cloud, Snowflake, Databricks
Enhances Microsoft Purview, DLP & CASB — no rip-and-replace.
Industries
The same data-filtering engine, tuned to the data and obligations that matter most in your world.
Prove control of sensitive technical data
Classify controlled and technical data across CAD and other formats, shrink assessment scope, and generate audit-ready evidence.
Protect PHI across unstructured data
Secure patient and research data across documents, images, and collaboration tools — without slowing innovation.
Safeguard intellectual property
Keep proprietary docs, trade secrets, and IP from leaking across shared environments and AI workflows.
Briefs
Two short briefs that make the case in plain terms.
Solution brief · Secuvy
The Secuvy platform overview — discover, classify, and filter every source before it feeds your AI.
View the brief →Solution brief · Secuvy + Hammerspace
How Secuvy and Hammerspace make enterprise data AI-ready across hybrid and distributed storage.
View the brief →Get started
Gain visibility into sensitive data, reduce exposure, and produce evidence you can trust — without months of deployment or manual effort.
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