PII Discovery and Classification
Automatically discover personally identifiable information across structured and unstructured data stores and classify it by sensitivity, regulation, and processing purpose.
The Challenge
Organizations cannot protect personal data they do not know exists. Data sprawl across cloud services, databases, file systems, and SaaS applications means personal data often exists in unexpected locations. Shadow IT and developer databases compound the problem.
Without comprehensive discovery and classification, organizations cannot fulfill data subject access requests accurately, conduct meaningful risk assessments, or demonstrate the data inventory required by regulations like GDPR Article 30.
Data Volume and Variety
Enterprise environments contain petabytes of data across hundreds of systems in structured, semi-structured, and unstructured formats, making manual discovery impossible.
Shadow Data
Developer databases, test environments, exported spreadsheets, and unofficial cloud services contain personal data outside IT visibility.
Classification Accuracy
Distinguishing between different types of personal data (PII, PHI, financial data, sensitive categories) requires contextual understanding beyond simple pattern matching.
Continuous Discovery
Data environments change constantly as new systems are deployed, data is migrated, and new processing activities begin, requiring ongoing rather than one-time discovery.
The Solution
DiscoverIQ uses AI-powered scanning to identify personal data across your entire technology environment—databases, file systems, cloud storage, email, and SaaS applications. ClassifyIQ then categorizes discovered data by sensitivity level, regulatory applicability, and processing purpose.
The platform performs both initial comprehensive scans and continuous monitoring for new data, ensuring your data inventory stays current. Discovered data is mapped to data subjects, processing activities, and regulatory requirements to support compliance operations.
How It Works
Connect Data Sources
Connect DiscoverIQ to databases, cloud storage, file systems, email systems, and SaaS applications using secure, read-only connections.
AI-Powered Scanning
DiscoverIQ scans connected systems using NLP and pattern recognition to identify personal data in both structured and unstructured formats.
Automated Classification
ClassifyIQ categorizes discovered data by type (PII, PHI, financial), sensitivity level, applicable regulations, and processing purpose.
Data Mapping
Build comprehensive data maps showing where personal data lives, how it flows between systems, and which regulations apply.
Continuous Monitoring
Ongoing scanning detects new personal data as it enters the environment, maintaining an always-current data inventory.
Key Benefits
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Frequently Asked Questions
What types of data sources can DiscoverIQ scan?
DiscoverIQ supports relational databases (MySQL, PostgreSQL, SQL Server, Oracle), cloud storage (AWS S3, Azure Blob, GCP), file systems, email platforms (Exchange, Gmail), SaaS applications (Salesforce, HubSpot, etc.), and unstructured data repositories. New connectors are regularly added.
How accurate is the AI classification?
ClassifyIQ achieves 95%+ accuracy for standard PII categories and 90%+ for context-dependent classifications. The system learns from corrections, improving accuracy over time for organization-specific data patterns.
Does scanning impact production system performance?
DiscoverIQ uses read-only, throttled connections that can be scheduled during off-peak hours. Scanning is designed to minimize impact on production systems, typically consuming less than 2% of system resources during active scans.