Application Protectors

EMBED DATA
PROTECTION DIRECTLY INTO Applications.

Secure sensitive data directly within your applications using SDKs and APIs, preventing downstream exposure while minimizing developer friction.
APP-EMBEDDED PROTECTION

SECURE DATA AT THE POINT OF ENTRY OR USE.

Protegrity embeds fine-grained protection within apps, applying field-level protection where data is first created or used to stop sensitive data exposure at the source.
Secure Customer-<br>Facing Apps
Secure Customer-
Facing Apps
Tokenize PII fields (name, email, payment info) directly within web portals, e-commerce sites, or mobile apps at the point of data entry to ensure immediate protection and compliance.
Protect Internal <br>Business Apps
Protect Internal
Business Apps
Mask or encrypt sensitive data used in internal CRM, ERP (SAP), or custom support applications, limiting exposure based on user roles or specific tasks without disrupting workflows.
Encrypt Healthcare Data
Encrypt Healthcare Data
Apply strong, field-level encryption to sensitive patient records and PHI directly within healthcare applications (Epic, Cerner) or patient management systems to ensure and streamline HIPAA compliance.
Ensure Consistent <br>Microservice Security
Ensure Consistent
Microservice Security
Apply uniform data protection policies consistently across distributed microservice architectures, securing sensitive data as it flows between internal services via APIs.
Secure Cloud Data Pipelines
Secure Cloud Data Pipelines
Extend protection to cloud-native ETL jobs (AWS Glue, Azure Data Factory) or data processing services that act like applications using Protegrity’s flexible Cloud API interface.
    Key Capabilities

    ROBUST PROTECTION. FLEXIBLE DEPLOYMENT.

    Protegrity comes with a complete deployment toolset and pre-built connectors to deploy field-level data protection within diverse applications and enforce central policies across your data flows.

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    Direct SDK Integration

    Embed protection logic directly into your application codebase using native SDKs for popular programming languages to ensure efficient, in-process security.

    • Available for Java, .NET, Python, Golang, C, and others
    • Supports protection at data entry, internal processing, or storage
    • Operates locally within the application environment for optimized performance
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    API-Based Protection (Cloud API)

    Use REST APIs to apply consistent, policy-driven protection within serverless functions, containerized applications, or cloud-native services like data pipelines (AWS Glue, Azure Data Factory).

    • Ideal for microservices, serverless, and modern cloud-native architectures
    • Apply protection dynamically per API request based on context or policy
    • Extends consistent protection beyond traditional application boundaries
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    Field-Level Protection Methods

    Apply protection methods—including advanced vaultless tokenization, encryption, masking, or anonymization—to specific sensitive data fields within data structured payloads or memory.

    • Targets only sensitive fields, leaving non-sensitive data unaffected
    • Preserves application performance and overall data structure integrity
    • Supports diverse protection needs for PII, PCI, PHI, or other confidential data
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    Centralized Policy Enforcement

    Policies are centrally defined in the Enterprise Security Administrator (ESA) and enforced locally by the Application Protector at runtime—ensuring consistent protection in context.

    • Local enforcement ensures security rules are always applied correctly in context
    • 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.
    Applications
    Protect data as it moves through your stack.
    Saas
    Platforms
    Secure third-party tools.
    Data
    Stores
    Protect structured data at rest or in motion.
    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.

      THE LATEST
      FROM PROTEGRITY

      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.

      Learn More

      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.

      Learn more