Platform service: GOVERNANCE

Consistent policy enforcement. complete audit visibility.

Define, manage, distribute, and monitor field-level data protection policies consistently across all environments —on-prem, cloud, hybrid, and multi-cloud through Protegrity’s centralized Enterprise Security Administrator (ESA).
PROTEGRITY ENTERPRISE & SECURITY ADMINISTRATOR

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.

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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.

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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.

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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.

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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.

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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.

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Accelerate data access and turn data security into a competitive advantage with Protegrity’s uniquely data-centric approach to data protection.

Key Capabilities

Centralized Control 
& Automation Features

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.
01
Policy Management Console
The intuitive ESA user interface makes it easy to create, organize, and manage data protection policies based on data type, context, or sensitivity.

Define protection policies by data type (PII, PCI, PHI, IP)

Apply protection methods based on user role, geography, or usage context

Organize policies using tags, usage domains, or sensitivity classifications

02
Policy Enforcement 
& Distribution
Export policies from the ESA console & distribute them consistently to runtime enforcement points through Protegrity Protectors deployed across your environments.

Securely distribute policies to data base protectors, proxies, SDKs, etc.

Enforcement operates locally with central governance for consistency

Protection rules execute without modifying application processes upstream

03
Rules Engine
Define fine-grained protection conditions using declarative policy logic. Govern exactly how data is treated based on structured context and dynamic runtime metadata.

Create rule sets based on column names, tags, or data classifications

Incorporate runtime metadata like user, session, role, or geographic location

Rules can determine access rights, trigger alerts, or apply specific protection methods

04
Monitoring & Auditing
Capture detailed, immutable logs for all policy-driven events (e.g., protect, unprotect, access attempts). Gain comprehensive visibility for security monitoring and audit readiness.

Log user identity, IP address, timestamp, protection method invoked, and target data classification

Securely forward logs to centralized storage or external SIEM systems

Access complete, reliable audit trails for compliance and internal investigations

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    IN A SINGLE PLATFORM

    Explore the additional core services of the Protegrity Data Security Platform.

    Discovery

    Identify sensitive data (PII, PHI, PCI, IP) across structured and unstructured sources using ML and rule-based classification.

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    Governance

    Define and manage access and protection policies based on role, region, or data type—centrally enforced and audited across systems.

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    Protection

    Apply field-level protection methods—like tokenization, encryption, or masking—through enforcement points such as native integrations, proxies, or SDKs.

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    Privacy

    Support analytics and AI by removing or transforming identifiers using anonymization, pseudonymization, or synthetic data generation—balancing privacy with utility.

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