Data X-Ray for GenAI Governance

Confident in what's training your GenAI?

Prevent sensitive data exposure, irreversible model contamination, and compliance violations by governing unstructured data before AI ingestion.

Know What Your Model Is Learning From

If you cannot see what is inside your files, you cannot control what GenAI learns.


Data X-Ray scans the full contents of each document, including text and images, not just metadata. It flags sensitive material, classifies by context, and allows you to apply policies before files reach your models. You decide what gets in, what stays out, and what gets redacted.

This level of review reduces the risk of sensitive data exposure, supports defensible audit logs for every decision, and helps teams respond to regulatory inquiries in hours instead of weeks.

Operationalize GenAI Governance at Scale

Content-Aware Classification

Data X-Ray's state-of-the-art classification engine analyzes the full contents of each file, classifying documents based on context, sensitivity, and type. This allows it to apply precise labels that accurately reflect the file's content, enabling you to enforce regulatory boundaries across all sources.

Deploy at Petabyte Scale in Days

Data X-Ray is deployed as a containerized, agentless service that connects directly to file shares, S3 buckets, and enterprise repositories, without moving data or requiring complex integration. It scans data where it sits, supports petabyte-scale environments to surface file-level ownership and entitlements.

Actionable AI Governance

It integrates with enterprise systems like Active Directory, Collibra, and more empowering governance, privacy, and compliance teams. This enables them to automate data governance workflows, provide defensible responses to regulatory inquiries, and strengthen compliance posture.

What Data X-Ray Unlocks for Data Governance Teams

Scan with Data X-Ray

GenAI Input Review

Screens files before GenAI use. Confirms what to include, redact, or exclude to protect model integrity.

Shadow AI Detection

Flags unsanctioned repositories and risky file types entering GenAI pipelines.

unstructured data analysis

Audit Readiness

Generates file-level logs, audit outputs, and remediation records for executive and regulatory reporting.

Govern unstructured data

Access Risk Mapping

Reveals who can access what across file systems. Flags overexposed, sensitive, or orphaned data at scale.

Zero Disruption

Connects directly to storage and identity systems. No replatforming. No data movement.

Clean AI Starts with Clean Data

Let's show you how to review and filter unstructured files before they enter AI workflows.


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