Turn the data you already own into your biggest AI advantage
Secuvy turns the data you already have into an edge, so every team ships AI faster, with less risk and less effort than the competition.
Three reasons Secuvy finds what your current tools miss
Legacy tools match the patterns they were told to look for and miss everything else, which in unstructured files and GenAI output is most of it. Secuvy learns the meaning of your data from context, so it lands faster, finds more, and holds up at AI scale.
Beyond patterns
Self-learning, not rule-chasing
Most platforms match known patterns and lean on manual tagging, so anything unfamiliar slips straight through. Secuvy's self-learning AI discovers and classifies sensitive data on its own and keeps getting more accurate as new data types appear. You define what matters; Secuvy finds it.
Up to 90% less
Manual classification, gone
Secuvy cuts hand classification by up to 90%, turning data-prep projects that once ran for months into work that finishes in hours. Your team stops scrubbing data and starts shipping AI.
Live in 45 min
Deployed before lunch
Stand Secuvy up in about 45 minutes, with no professional-services marathon and no rip-and-replace. You see classified, governable data the same day.
YOUR DATA
Your data. On Secuvy. Ready for pipelines.
Ten kinds of data every organization has. This is where each one lands.
- ✓Prep
- ✓Sensitivity
- ✓Sovereignty
- ✓Compliance
TAP ANY TILE. ITS BEFORE AND AFTER SHOWS BELOW.
[RESEARCH · TAGGED - TRAINING]
Was: scientists doing prep.
Now: prep runs itself; scientists research.
The difference
One self-learning engine, not a wall of rules to babysit
Built on Secuvy's roots in DSPM, an unsupervised AI engine that classifies your data continuously through contextual linkage and non-pattern classification. It's the foundation under security, compliance, and AI governance, and the fastest filtering engine on the market.
01Self-Learning Filtering
An unsupervised engine that adapts to real content and gets more accurate as it runs — no constant rule management.
02Non-Pattern Classification
No pattern matching. You define what matters; Secuvy finds it in the data.
03Contextual Linkage
Connects related sensitive records across systems and visualizes the linkage — context legacy tools can't see.
04AI-Aware Governance
Risk anchored in actual data sensitivity — every source classified and governed by how sensitive it really is, so guardrails act on what matters instead of generic assumptions.
05Fast Filtering
The market's fastest classification engine, operating at the file-system level for the quickest path to results.
06Verifiable DBOM
Every filtering decision rolls up into a data bill of materials that proves exactly what data fueled each model — defensible to a regulator, auditor, or board.
Self-Learning Filtering
An unsupervised engine that adapts to real content and gets more accurate as it runs — no constant rule management.
WHY NOW
From months of data prep to hours on Secuvy.
Self-learning AI discovers, classifies, tags, and validates every file on its own.
Every correction teaches the model. Every new pipeline starts tagged.
Built to sit in front of NVIDIA AIDP
The NVIDIA AI Data Platform (AIDP) moves enterprise data fast and at scale, but it's deliberately silent on whether the data should move at all. It assumes you already know what's sensitive, duplicate, regulated, and fit for purpose. Almost no enterprise does.
That's where Secuvy fits. With Secuvy in front, every GPU cycle is spent on the right data: governed, classified, and fit for purpose. Without it, you've just built a faster way to push the wrong data into your models.
The data bill of materials (DBOM)
Secuvy's self-learning engine, contextual linkage, and non-pattern classification create a highly accurate data bill of materials — the system of record across all your data.
- The system of record across all your data
- Proof the right data — and only the right data — fueled every model
- Lineage you can defend to a regulator, an auditor, or a board
Put Secuvy up against your legacy tools.
Book a demo →How is Secuvy different from pattern-matching tools?
Secuvy learns meaning from context instead of only matching known patterns. That lets it find and classify unfamiliar sensitive data across unstructured files that rule-based tools can miss.
How much manual classification can Secuvy replace?
Secuvy can reduce hand classification by up to 90%, turning data-prep projects that once ran for months into work that finishes in hours.
When is Secuvy a better fit than rule-based classification?
Secuvy is a stronger fit when sensitive data is unstructured, unfamiliar, or changing faster than teams can maintain rules. Its self-learning engine classifies through content and context, then improves as your team confirms its recommendations.
Does Secuvy replace my existing data stack?
No. Secuvy sits in front of your existing pipelines and infrastructure, so you can add continuous discovery, classification, and governance without a rip-and-replace project.
How should we compare Secuvy with our current tools?
Run both against the same representative data. Compare what each finds beyond known patterns, how much manual review each requires, and whether each can produce a current record of what entered an AI pipeline and what was held out.
Turn the data you own into an AI advantage.