Discovery for Unstructured Data. Classify the Chaos.
Find sensitive files, surface exposure, and prepare for AI all from a single platform.
Governance fails without classification
Can you answer this: What sensitive data sits in our cloud shares, file drives, or inboxes?
Regex rules might catch a credit card number but miss misclassified board decks, exposed contracts, and aging employee records with no retention logic. These blind spots sit outside catalogs and DLPs. Left unclassified, they create compliance risk and AI failure.
Data X-Ray scans petabyte-scale unstructured data in minutes. It classifies by sensitivity, document type, and policy relevance. Then it surfaces what matters and drives remediation, retention, redaction, or AI prep.
Solving the last-mile problem in data governance
Coverage
Data X-Ray scans across cloud, hybrid, and on-prem environments, from SharePoint to AWS S3. It classifies content on what they contain to inform action.
Interoperability
Data X-Ray’s output feeds enriched metadata directly into Collibra Data Catalogs, DLP platforms, IAM systems, and workflows for audits and DSARs.
Precision
NLP and ML models interpret document type, business logic, and sensitivity, reducing false positives and enabling actions like redaction or AI eligibility checks.
95% of businesses face unstructured data issues.
– Use a precise discovery tool.
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Data X-Ray: Built for enterprise environments
Each feature below drives not just insight but safe action, at scale.
Uncover Stale Data
Detect forgotten, unowned, or legacy files that create silent risk and inflate storage costs.
Spot Critical Files
Identify sensitive terms and patterns buried in contracts, meeting notes, and financial docs.
Flag Exposed Access
Combine content sensitivity with actual access permissions to flag overexposed or over-entitled files.
Automate Remediation
Automate migration, deletion, or escalation workflows based on classification.
Enforce Policies
Apply prebuilt policy packs for GDPR, CCPA, HIPAA, or internal governance needs.
Qualify Data for AI
Determine what’s safe, relevant, and defensible for AI training pipelines or RAG architectures.
