Sensitive Data Management for Unstructured Data

Find PII, PHI, and company-specific sensitive data where it shouldn’t be and remediate

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Find Sensitive Data Across Hybrid Storage

Automatically discover PII, IP, and regulated data wherever it lives.

  • Scan file contents in place across NAS, object, and cloud storage
  • Detect standard PII (IDs, credit cards, etc.) or custom patterns using keyword and regex search
  • Identify specific data formats such as employee IDs, machine or instrument IDs, product or project codes, or personal health information (PHI) data.
  • Built-in sensitive data detection without any additional plug-ins or complexity
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Confine, Move and Exclude Sensitive Data to Prevent Leaks

Automate actions on sensitive data and share reports for auditing and data governance.

  • Automatically tag sensitive files in the Komprise Global Metadatabase for instant visibility
  • Set data management policies to quarantine, relocate, or restrict access to non-compliant data
  • Run continuous Smart Data Workflows to ensure new sensitive data is detected and handled automatically

Detect & Mitigate Sensitive Data for Compliance & AI

Schedule a demonstration with the Komprise experts to get started today.

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Govern AI Data and Prevent Sensitive Data Leakage

Drive AI innovation without risking data exposure.

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  • Exclude sensitive data from AI pipelines, training sets, and data copies
  • Continuously detect and remove newly created sensitive files before they reach AI tools
  • Maintain a full audit trail of every AI workflow for compliance and investigation

Dig Deeper

SOLUTION BRIEF

Protect Sensitive Unstructured Data with Komprise

In enterprise IT, security is now everyone’s responsibility. Storage IT professionals need to ensure that sensitive data…

Video

Data on the Move: Sensitive Data Management

In this Data on the Move discussion, Kumar and Polly discuss Sensitive Data Management for AI governance and cybersecurity.

DEMO

Sensitive Data Management Demonstrations

Watch demonstration of the PII detection and Regex search features included with Smart Data Workflows.

Frequently Asked Questions

What is sensitive data management?

Sensitive data management is the practice of discovering, classifying, protecting, and governing sensitive information, such as personal, financial, regulated, or proprietary data, across its entire lifecycle. In large unstructured data environments, it provides visibility into what data exists, where it lives, who has access to it, and the level of risk it represents, enabling organizations to apply the right policies and controls based on data sensitivity rather than treating all data the same.

Sensitive data management creates a shared foundation for cost efficiency and risk reduction. For data storage teams, it enables smarter data placement, tiering, archiving, and migration decisions by ensuring sensitive data is handled appropriately while lower-risk data can be optimized to reduce storage and backup costs. For security teams, it addresses a major blind spot by identifying sensitive data hidden in unstructured files, allowing teams to prioritize protections, limit access, reduce exposure, and meet compliance requirements. Together, the right approach to sensitive data management aligns storage optimization with security governance, helping enterprises optimize unstructured data storage costs, support AI data workflows, and strengthen security without unnecessary cost or operational friction.

Also see sensitive data detection

Komprise Smart Data Workflows and the sensitive data detection and regex search capabilities help enterprises discover, classify, and automatically remediate sensitive unstructured data across hybrid storage. It ensures sensitive data is protected, compliant, and excluded from AI workflows.

Watch a Best Practices Video

Komprise can search within file contents across all storage, for specific information. Built-in PII detection covers national IDs, credit card numbers and email addresses. You can also conduct custom searches using keyword and regular expressions (regex) search to identify specific data formats like employee IDs, machine or instrument IDs, product or project codes, or PHI data like patient record IDs. Komprise processes all data locally in your own data center, so sensitive data stays in place.

Yes, Komprise Intelligent Data Management includes Sensitive Data detection and mitigation at no additional charge.

Personally identifiable information (PII) in unstructured data can expose organizations to privacy violations, regulatory risk, and data leakage through AI outputs. When sensitive data is ingested into a RAG pipeline, it can be retrieved, indexed, and surfaced in responses, creating compliance issues and undermining trust. Filtering PII early ensures only safe, governed data is used to power AI, reducing risk while improving the quality and relevance of results.

Komprise uses analytics-driven unstructured data management to identify, tag, and act on sensitive data before AI data ingestion. With global metadata indexing and policy-based workflows, Komprise can detect PII across file and object storage, then automate actions such as quarantining, tiering, or excluding sensitive data from AI pipelines. This ensures only compliant, high-quality datasets are fed into RAG systems – at scale and across heterogeneous storage environments.

Read the Data Preparation for AI eGuide

No. Komprise analyzes data in place and applies metadata-based tagging and policies. When data is moved, file access and structure are preserved, and full audit records are maintained.

Find Sensitive Data Across Hybrid Storage Silos

Schedule a call with our unstructured data management experts and see your file and object data in a whole new way.

Industry Leaders Trust Komprise
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