BigID

Automatically scans and identifies sensitive data (PII, PHI, financial records, etc.) across on-premises, cloud, and hybrid data sources without requiring manual configuration or data tagging. Uses machine learning to recognize patterns and context to detect regulated data types.

Automatically categorizes discovered data by sensitivity level, data type, and regulatory requirements (GDPR, HIPAA, CCPA, etc.). Applies consistent classification schemas across the entire data estate using machine learning models.

Monitors data access patterns and identifies unusual or suspicious activities that may indicate unauthorized access, data exfiltration, or insider threats. Generates real-time alerts for security teams.

Exports data inventory, classification metadata, and compliance assessments in standard formats for integration with other security and governance tools. Supports APIs and webhooks for real-time data sharing.

Evaluates data inventory against privacy regulations (GDPR, HIPAA, CCPA, etc.) and generates compliance reports identifying gaps, risks, and remediation recommendations. Provides visibility into compliance posture across the organization.

Provides a centralized dashboard displaying data inventory, classification status, compliance metrics, and security posture across all integrated data sources. Enables executives and data teams to monitor data governance health in real-time.

Enables definition and enforcement of access controls and data protection policies based on data classification and sensitivity levels. Integrates with identity and access management systems to restrict access to sensitive data.

Maps data flows and dependencies across systems to show where sensitive data originates, how it moves through the organization, and what systems depend on it. Enables impact analysis for data changes and deletion requests.

Streamlines the process of locating and retrieving all personal data associated with a specific individual across the entire data estate. Automates compilation of data for GDPR, CCPA, and other privacy regulation data subject requests.

Defines and enforces automated data retention and deletion policies based on data type, sensitivity, and regulatory requirements. Identifies and removes data that should no longer be retained according to organizational policies.

Automatically masks or anonymizes sensitive data in non-production environments, test datasets, and reports. Replaces PII and other sensitive information with realistic but non-identifiable values while preserving data utility.

Connects to and scans major data platforms including Salesforce, Snowflake, AWS, Google Cloud, Azure, and other enterprise systems. Provides native connectors for seamless integration without custom development.