In enterprise IT, security is now everyone’s responsibility. Storage IT professionals need to ensure that sensitive data — such as PII and IP—are protected from unauthorized access and unavailable for ingestion into AI. However, as unstructured data has exploded across many different silos in the enterprise, the task has become increasingly difficult and impossible to do manually.
The risks are irrefutable: attempts to input PII into GenAI platforms represent over half (55%) of data loss prevention (DLP) events, according to research by Menlo Security. Roughly 80% of data breaches involve sensitive data, according to Verizon’s Data Breach Investigations report and other sources.
Komprise Smart Data Workflow Manager, a simple interface for configuring and automating the discovery, tagging and classification, and movement of data between different storage platforms, includes built-in scanners for PII and other sensitive data.
Komprise Sensitive Data Management
- Find Sensitive Data Across Hybrid Storage Silos
- Tag, Move and Remediate Sensitive Data
- Exclude Data and Audit Workflows for AI
Why is sensitive data management critical for AI initiatives?
AI systems can unintentionally ingest personally identifiable information (PII), protected health information (PHI), intellectual property, or regulated content if data is not governed first. Sensitive data management helps ensure only approved, compliant, high-quality data is used for AI training, RAG pipelines, and analytics.
How does Komprise help prevent sensitive data leakage into AI tools?
Komprise scans unstructured data in place across NAS, cloud, and object storage to detect PII and custom sensitive patterns using keyword and regex search. IT teams can then tag, quarantine, move, or exclude risky data before it reaches AI platforms.
Can Komprise improve AI data quality as well as security?
Yes. By identifying sensitive, duplicate, stale, or low-value files before ingestion, Komprise helps reduce data noise and improves the relevance and trustworthiness of data fed into AI systems. Cleaner source data can improve model outputs and reduce wasted compute costs.
How does Komprise support AI governance and compliance?
Komprise maintains audit trails for automated workflows and data movement, helping organizations document what data was scanned, tagged, moved, or excluded from AI pipelines. This supports governance, investigations, and regulatory compliance efforts.
Why is Komprise different from traditional DLP or security tools?
Traditional security tools often focus on endpoints, email, or network traffic. Komprise focuses on discovering and acting on sensitive unstructured data at rest across distributed storage environments, combining data governance, lifecycle management, and AI data readiness in one platform. Learn more about Komprise Intelligent Data Management.