Secuvy

Founded 2019

Discover, classify, and tag enterprise data in place for artificial intelligence pipelines

You can use Secuvy to locate, organize, and catalog sensitive enterprise files across your existing storage without moving or modifying data. The system scans your environment to identify proprietary intellectual property, personal records, and confidential files using unsupervised machine learning. It automatically generates a Data Bill of Materials that tracks which data sources fed into machine learning pipelines and what was excluded. Secuvy continuously tags incoming data, checks compliance status, and ensures training datasets remain governed, safe, and ready for deployment.

What Secuvy does

Scan connected enterprise storage systems for uncataloged filesClassify proprietary intellectual property without predefined pattern rulesGenerate a Data Bill of Materials for each machine learning pipelineTag confidential and personal records directly in their current storage locationsReview and confirm classification recommendations to train system accuracyLink related data across disparate enterprise storage repositoriesAudit data inputs and exclusions for privacy and compliance oversightUnsupervised pattern-free classification to detect intellectual property and sensitive assetsIn-place scanning that analyzes files without moving or altering original dataAutomated Data Bill of Materials tracking inputs, exclusions, and destinationsContextual linkage across systems mapping data to specific applications and usersContinuous pipeline monitoring and automated discovery for incoming enterprise filesHuman feedback loop where confirmations tune classification accuracy over timeRapid environment connection with discovery starting within an hour