CUI caught without a marking.
It finds CUI, export-controlled, and classified content by meaning, wherever it sits, marked correctly, marked wrong, or never marked at all.
Inside discovery and classification →Classify by content, not by marking.
Secuvy learns your data itself, in place, and classifies every file by what it contains, even when markings are missing or stale.
The mission waits on the markings.
AI is now mission policy, but no model can be fed until someone can say which files hold CUI or classified content.
“The Department will enforce cybersecurity compliance with the NIST SP 800-171 Rev 2 standard through self-assessments and select government-led assessments, focusing on tangible cyber hygiene rather than administrative overhead.”
Tangible starts with knowing where your CUI actually is. Markings only say what a file was when someone last marked it. Files get copied, edited, and merged, and the markings fall behind the content.
Spillage starts where the markings stop being true.
It reads the file, not the marking.
Secuvy classifies unsupervised from the content and context of each file, in place, across your sources, with far less rule upkeep.
It proposes a classification. Your security office confirms, and each confirmation makes the engine more accurate on your data.
Where markings drift, the engine keeps learning.
How the engine learns your data →What changes for the mission.
Security offices confirm, not hunt.
Your security office confirms Secuvy's classifications instead of hunting through shares file by file, and the queue shrinks as it learns.
Why the engine learns →A record you can hand oversight.
A Data Bill of Materials records what fed each model and what was held out, ready for auditors and oversight.
The DBOM in depth →Real-world use cases
PII and CUI across agency systems
PII and CUI sit across data centers, government cloud, Microsoft 365, and SharePoint. Secuvy finds them by pattern and classifies them by content and context.
Plans, capabilities, and technical data
Plans and technical data often lack markings. Secuvy classifies them by content, so sensitive files get tagged even when no marking is present.
Contracts, supply chain, and export-controlled data
Program records mix contract terms, supplier data, and export-controlled content. Secuvy finds and tags each, so teams can check what may be shared and with whom.
Sharing with coalition partners
Secuvy tags data and re-checks it as it moves, so your team decides what crosses to partners or into AI from a current record.
Everything security has to say yes to.
- Read-only. Nothing is moved, changed, or sent; every decision is your team's.
- Air-gapped, VPC, or hybrid. Runs fully disconnected, and nothing learned leaves.
- Finds and classifies CUI, export-controlled, and classified content in place.
- NIST 800-171 and CMMC aligned. SOC 2 Type II certified, IAPP member.
- Sold through the channels you already buy from: Carahsoft, SHI, ePlus, WWT.
- Every file known. Every model provable.
See it on your own network.
Thirty minutes in your environment. Bring your security officer.
Request a demo →Does it need a connection out?
No. It runs fully air-gapped. Nothing it learns and nothing it reads ever leaves your environment.
Will it move or change files?
No. It finds, classifies, and tags. Your team decides everything, and files stay exactly where they live.
What happens when CUI is marked wrong, or not marked?
Secuvy classifies from the content itself, so CUI and classified content that is marked wrong or never marked still gets found and classified.
Can we show oversight what fed a model?
Yes. A Data Bill of Materials records every model's inputs, exclusions, and when each record last changed.
Confidently fuel every AI pipeline.