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Sensitive Data Discovery

Identify sensitive data like PII, PCI, and PHI across structured and unstructured data to ensure compliance and protect against unauthorized access.

Solution by Solix Technologies
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Overview

Sensitive Data Discovery is designed to identify sensitive information such as Personally Identifiable Information (PII), Payment Card Information (PCI), and Protected Health Information (PHI) across both structured and unstructured data environments. It addresses the challenge of locating sensitive data that is often hidden within complex data ecosystems, including legacy databases and cloud applications, which can expose businesses to privacy violations and compliance risks.

This solution offers a comprehensive approach to data privacy by scanning on-premises, cloud, and hybrid environments. It uses advanced scanning and auto-discovery capabilities to provide organizations with full visibility into where sensitive data resides, how it flows, and who has access to it. This ensures compliance with regulations like GDPR, HIPAA, and PCI DSS, helping organizations maintain robust data governance.

Key Features

  • Enterprise-Scale Discovery: Automates the identification and protection of sensitive data to support adherence to industry standards.
  • Data Landscaping: Systematically discovers, classifies, and secures sensitive information across all environments.
  • Advanced Patterns: Utilizes pre-populated rules and pattern-matching algorithms to detect sensitive data using metadata and content scanning.
  • Custom Rules: Allows organizations to define custom rules for identifying confidential data unique to their business.
  • Data Masking Integration: Seamlessly integrates with Solix Data Masking for format-preserving masking of sensitive data.
  • Advanced Search: Searches across metadata and data to ensure comprehensive detection of sensitive information.

By automating the discovery and protection of sensitive data, Sensitive Data Discovery helps organizations minimize risks, prevent unauthorized access, and avoid regulatory penalties, ensuring a secure and compliant data environment.

Meta

Category
Regulatory & Quality Compliance
Field(s)
Quality & Compliance
Target user(s)
QA / Regulatory AffairsIT / Systems Admin
Tag(s)
Quality & Compliance ManagementAI