Core Systems Protector

EXTEND FIELD-LEVEL
DATA PROTECTION
TO LEGACY SYSTEMS.

Apply consistent, field-level tokenization, encryption, or masking to sensitive data residing in file systems and critical mainframe environments—so you can modernize securely while supporting legacy systems.
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Secure critical Infrastructure

PROTECT SENSITIVE DATA IN FILES & MAINFRAMES.

Protegrity extends consistent, policy-driven protection to files, mainframes, and legacy systems, securing critical data often missed by other security tools.
Secure File <br>Transfers & Exports
Secure File
Transfers & Exports
Apply tokenization or masking to sensitive data within files (CSV, JSON, etc.) used for reporting, exports, or sharing with external partners or regulators.
Protect Mainframe <br>Transaction Data
Protect Mainframe
Transaction Data
Secure sensitive fields (e.g., account numbers, PII) within core banking, insurance, or retail mainframe systems (COBOL, DB2 z/OS) to meet current PCI, GDPR, or HIPAA compliance needs.
Safeguard Legacy <br>Batch Processing
Safeguard Legacy
Batch Processing
Protect data used in critical batch jobs (e.g., nightly processing, settlement, billing) running on legacy platforms where application code changes are difficult or impossible.
Protect File-Based <br>Data Lakes
Protect File-Based
Data Lakes
Tokenize sensitive data stored in on-prem file repositories or file-based data lakes before ingestion into cloud analytics environments, data lakes, or AI/ML pipelines.
Secure Backups <br>& Archives
Secure Backups
& Archives
Apply encryption or tokenization to sensitive data within backups, data archives, or disaster recovery processes, meeting retention requirements while protecting historical data at rest.

    Broad integrations &
    platform Support

    File-Based
    Systems

    CSV, JSON, XML, Avro, Parquet, and other structured/semi-structured file formats

    Mainframe
    Environment

    IBM z/OS, DB2 Mainframe,
    COBOL applications

    Legacy Apps & Batch Processing Systems

    Custom scripts, ETL workflows, backups,
    reporting exports

    Key Capabilities

    ENFORCE PRECISE PROTECTION WITHOUT DISRUPTION.

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    Field-Level Protection Methods

    Precisely enforce data protection policies, applying granular vaultless tokenization, encryption, masking, or anonymization to specific sensitive data fields within cloud environments.

    • Protect PII, PCI, PHI, and other sensitive data types at the column or field level
    • Protection methods operate transparently to users during query or data access
    • Format-preserving options (i.e., dynamic data masking) maintain usability for downstream analytics and AI tools
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    Batch & Integrated Processing

    Apply protection in bulk via scheduled batch jobs—or integrate protection steps directly into existing data transfer or processing workflows as needed.

    • Supports offline processing suitable for large files or established batch windows
    • Can be scripted for automated, repeatable file protection tasks within workflows
    • Effective in air-gapped or high-control operational data center environments
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    Centralized Policy Enforcement

    Define data protection policies once in Protegrity Enterprise Security Administrator (ESA) and apply them consistently to files and mainframe data alongside databases, applications, and cloud data sources.

    • All app-specific policies managed centrally via Protegrity ESA for consistency and simplified admin
    • Simplifies governance and auditing for complex, hybrid IT environments
    • Enables granular, policy-based control over who sees clear vs. protected data
    Where Does Your Sensitive Data Live?

    APPLY PRIVACY PRESERVATION ANYWHERE IN YOUR ARCHITECTURE.

    Protegrity’s field-level, format-preserving privacy preservation methods can be applied consistently via various mechanisms—Protegrity Protectors—embedded across your data environment. Select the enforcement point(s) that best fits your architecture and specific use case needs.
    Cloud
    environments
    Secure dynamic, cloud-native workloads.
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    Applications
    Protect data as it moves through your stack.
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    Saas
    Platforms
    Secure third-party tools.
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    Data
    Stores
    Protect structured data at rest or in motion.
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    Core
    systems
    Add modern security to legacy or mainframe systems.
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      Online Demo

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

      See online demo

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      Enterprise Data Security
      In A Single Platform

      Equip teams to discover, govern, and protect sensitive data across the
      data lifecycle—including for analytics and AI.

      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.

      Learn more

      Protection

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

      Learn more

      Privacy

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

      Learn more

      See the Protegrity platform
      in action

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

      Get an online or custom live demo.

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