Key Takeaways PII can enter AI systems through training datasets, fine-tuning data, RAG sources, and user prompts. Language models can memorize aspects of their training data, making it important to identify and protect unnecessary PII before training. Unstructured data such as documents, emails, support tickets, and scanned files can contain PII that is difficult to identify at scale. Data discovery, … Read More
POPIA vs. AI Act vs. LGPD vs. GLBA for US Businesses
Key Takeaways U.S. businesses may face international privacy laws depending on where they operate and process data. GLBA protects financial information handled by covered U.S. financial institutions. LGPD and POPIA regulate personal data in Brazil and South Africa. The EU AI Act regulates AI based on risk and can also apply to U.S. companies. Data visibility is fundamental to compliance, … Read More
Gartner Report: Why AI-Ready Data Requires Data Discovery
Key Takeaways AI performance depends on the quality, accessibility, and organization of the enterprise data it can access. Dark data becomes a greater risk as AI systems make hidden information easy to discover. Access controls cannot identify sensitive information hidden inside documents that users and AI systems can access. Sensitive data discovery, context-aware classification, and remediation should be part of … Read More
PII Dataset Download – All 18 HIPAA Identifiers
Key Takeaways HIPAA defines 18 identifiers that can identify an individual when associated with health or healthcare payment information, making that information Protected Health Information (PHI). All 18 identifiers must be removed under HIPAA Safe Harbor for healthcare data to qualify as de-identified under that method. The identifiers cover a broad range of data, including names, addresses, dates, phone numbers, … Read More
HIPAA Compliance Checklist 2026: What US Healthcare Companies Need to Know
Key Takeaways HIPAA compliance begins with knowing where ePHI exists across structured and unstructured data. Continuous data discovery and context-aware classification help maintain an accurate inventory of sensitive healthcare information. Native OCR is essential for identifying ePHI hidden in scanned documents, medical forms, faxes, and image files. Automated remediation, including redaction, encryption, and quarantine, helps reduce the risk of unauthorized … Read More
AI Redaction in 2026: How Automatic PII Redaction Tools Actually Work
Key Takeaways Modern AI redaction combines machine learning, OCR, and contextual analysis to detect and protect sensitive information beyond traditional pattern matching. AI can only redact the data it can first discover, making native OCR essential for scanned PDFs, images, and other unstructured documents. Enterprise AI redaction should support Private Cloud, on-premises, hybrid, and air-gapped deployments to ensure zero data … Read More
PII Examples
Key Takeaways Personally identifiable information (PII) is any data that can identify, contact, or trace an individual, either on its own or when combined with other information. Common PII examples include names, email addresses, phone numbers, Social Security numbers, passport numbers, driver’s license numbers, and financial account details. PII falls into two categories: sensitive PII (such as government IDs and … Read More
PII Detection Tools Compared: What Works in 2026?
Key Takeaways PII detection tools help organizations identify, classify, and protect sensitive data across file shares, cloud storage, databases, emails, and AI workflows. The most important capabilities in 2026 include OCR support, AI readiness, automated classification, Microsoft Purview integration, and support for unstructured data. Different PII scanning tools are designed for different use cases, from Microsoft 365 governance and insider-risk … Read More
2026 HIPAA Security Update: Continuous ePHI Discovery
Key Takeaways The 2026 HIPAA Security Rule update emphasizes continuous ePHI discovery, requiring healthcare organizations to maintain ongoing visibility into where sensitive data resides – not just during annual risk assessments. Continuous data discovery helps reduce compliance risk by identifying hidden ePHI across file shares, cloud storage, email, endpoints, and other unstructured data sources. Organizations that continuously discover, classify, and … Read More
