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Sensitive Data Discovery

Identify and classify PII and regulated data across systems

Table of Contents

Table of Contents

    Use case image

    Uses AI‑driven discovery and classification to identify PII and regulated data across hybrid environments, reducing blind spots, lowering compliance risk, and enabling faster, automated remediation for stronger data protection and audit readiness.

    Machine Learning
    Machine Learning
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    Cross-industry applications

    Financial Services

    Healthcare & Life Science

    Government & Public Sector

    Retail & Customer Engagement

    Technology

    Why it matters

    Organizations lack clear visibility into where sensitive data (PII/PHI/PCI, secrets) resides across cloud, SaaS, and on‑prem systems. Legacy tools miss context, create false positives, and make compliance mapping slow and manual.

    How it works

    BigID automatically discovers, classifies, and maps sensitive data across all environments using ML/NLP and identity correlation—providing accurate inventories, reducing false positives, and enabling automated remediation and policy enforcement.

    Business outcomes

    • Improve visibility across hybrid environments - Automatically discovers and inventories sensitive data across cloud, SaaS, and on‑prem systems, eliminating blind spots.
    • Stronger protection via automated remediation - Reduces false positives and enables automated remediation and policy enforcement to better protect sensitive data.
    • Simplified audits & compliance alignment - Provides accurate data classification and mapping to streamline audit preparation and compliance reporting.
    • Reduce operational overhead - Automates data discovery and classification using ML/NLP, minimizing manual effort and speeding response times.
    • Better AI risk governance with visibility into model‑training data - Delivers clear insight into sensitive data used for AI and analytics to support stronger AI governance.

    Partner ecosystem

    Changelog

    • Rev.1: Initial release

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