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Classify sensitive data in every format engineers use.

Secuvy learns your data itself, so drawings, well logs, and sensor histories get classified by meaning, not by matching office-document patterns.

Energy data doesn't look like office files.

Your AI wants sensor histories, drawings, and survey data, and that is also the data that maps your infrastructure and holds your IP.

Pattern rules were written for office documents. A one-line diagram, a well log, or a turbine's sensor history matches none of them, so it goes unclassified.

What nobody can classify, nobody can tag for use.

It reads formats, not just sentences.

Secuvy learns your data itself, unsupervised and in place, reading how files relate, repeat, and take shape, not just what their text says.

It proposes a classification. Your team confirms it, and the engine learns your operation a little better each time.

No format is unfamiliar for long.

What non-pattern classification means →

What changes across the operation.

CEII and IP, caught as drawings.

It reads meaning beyond text, so critical infrastructure information and IP get caught as diagrams, models, and coordinates, not just prose.

Inside discovery and classification →

Engineers confirm, not catalog.

Your engineers confirm Secuvy's classifications instead of cataloging files by hand, and the queue shrinks as the engine learns the operation.

Why the engine learns →

Proof for every audit.

A Data Bill of Materials records what fed each model and what was held out, ready for auditors and regulators.

The DBOM in depth →

Real-world use cases

Oil pumpjack in an energy field

Oil and gas exploration and production

Seismic, well, and reservoir files hold the IP exploration AI wants. Secuvy classifies them in place so you see what can feed a model before anything connects.

Industrial pipelines at a midstream facility

Midstream and pipelines

SCADA, sensors, and maintenance data span systems never inventoried together. Secuvy classifies them read-only, already tagged for reliability and analytics.

High-voltage transmission towers

Power generation and utilities

Grid AI waits on knowing what operational data holds. Secuvy tags it, including CEII, and a data bill of materials records what fed each model.

Wind turbines at sunrise

Renewables and energy transition

Partners and new assets add data faster than anyone catalogs it. Secuvy classifies it with your own sources, tagged before share or AI use.

Everything operations has to say yes to.

  • Read-only. Nothing moves, changes, or sends; every decision stays with your team.
  • Air-gapped, VPC, or hybrid. Runs where OT data has to stay, and nothing learned leaves.
  • Classifies CEII, IP, and PII in place, across engineering and corporate sources.
  • SOC 2 Type II certified, IAPP member.
  • Proven channels: Carahsoft, SHI, ePlus, WWT.
  • Every format your operation produces, classified to your standard.

See it classify your formats.

Thirty minutes on your own environment. Bring your OT security lead.

Request a demo →
Does it touch operational systems?

It connects read-only and classifies; nothing is installed on operational systems, and files never move or change.

Can it classify drawings and sensor data, not just documents?

Yes. It reads how files relate, repeat, and take shape, so diagrams, models, and logs get classified by meaning.

Can we govern operational and enterprise data without combining them?

Yes. Secuvy classifies data in place across operational and enterprise sources, so files stay in their existing systems and workflows. Teams get a shared view of sensitivity and policy without moving the underlying data into one repository.

Can we prove what fed a model to a regulator?

Yes. A Data Bill of Materials records every model's inputs, what was held out, and when each entry changed.

Confidently fuel every AI pipeline.