Consistent policy enforcement. complete audit visibility.
UNIFIED GOVERNANCE ACROSS YOUR ENTIRE DATA ESTATE
The Protegrity ESA gives you a centralized and unified point of control over distributed data, ensuring consistent policy enforcement and providing automated audit trails across complex enterprise ecosystems.
Cross-Platform Policy Management
Create, distribute, and apply protections policies for all of your sensitive data across diverse cloud, on-premises, and hybrid systems from a single console.
Compliance Readiness
Streamline audit-readiness for compliance with GDPR, HIPAA, PCI DSS, and other regulations. Automatically generate reports and access detailed, real-time logs to demonstrate regulatory alignment and technical controls.
Access Governance
Control precisely who can access sensitive data—and under what conditions. Consistently apply fine-grained, field-level data access policies based on user role, session context, application domain, or other criteria.
Anomaly-Based Risk Alerts
Proactively surface potential threats before they cause damage. Identify abnormal access behaviors (e.g., excessive attempts, unknown locations) and trigger alerts to security teams or SIEM systems.
Audit-Driven Forensics
Rapidly and thoroughly investigate security incidents and policy violations. Access detailed event logs to see user identity, time, IP, location, and user actions for deep forensic analysis of access attempts.
Centralized Control & Automation Features
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ENTERPRISE DATA SECURITY
IN A SINGLE PLATFORM
Discovery
Identify sensitive data (PII, PHI, PCI, IP) across structured and unstructured sources using ML and rule-based classification.
Learn moreGovernance
Define and manage access and protection policies based on role, region, or data type—centrally enforced and audited across systems.
Learn MoreProtection
Apply field-level protection methods—like tokenization, encryption, or masking—through enforcement points such as native integrations, proxies, or SDKs.
Learn morePrivacy
Support analytics and AI by removing or transforming identifiers using anonymization, pseudonymization, or synthetic data generation—balancing privacy with utility.
Learn more