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PK Protect Data Store Manager

Data discovery and protection for data stores, cloud, and applications

Reduce risk with proactive security across structured and unstructured data in databases, data lakes, cloud repositories, applications, and ERPs.

PK Protect Data Store Manager discovering and masking sensitive data across databases, data lakes and cloud repositories

Trusted by leading organizations for over 40 years

JPMorgan ChaseTruistFiservWestern Union
PK Protect Data Store Manager discovering and masking sensitive data across distributed environments

Find it before it spreads

Proactive enterprise-wide data security and compliance

Sensitive data often ends up where it doesn’t belong. Its proliferation across distributed environments increases risk and complicates compliance. PK Protect Data Store Manager (DSM) discovers and masks sensitive data across all environments. Even in the event of a breach, data stays protected.

Why PK Protect Data Store Manager

Visibility across every store, and protection that travels with the data

Enterprise-wide discovery across databases, data lakes, cloud repositories and packaged applications

Comprehensive platform coverage

DSM supports a broad range of platforms, including Oracle, SQL Server, Postgres, DB2, Hadoop, AWS, Azure, Snowflake, Salesforce, and more. It delivers accurate enterprise-wide visibility and protection to close security gaps. One of the top U.S. banks depends on DSM to gain actionable insight and ensure compliance. It identifies sensitive data across 400+ applications, including 18,000 databases containing nearly a million tables.

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Data minimization reducing redundant, obsolete and trivial data to shrink the attack surface

Optimized data retention

Redundant, obsolete, and trivial (ROT) data increases storage costs, expands your attack surface, and makes compliance difficult. DSM enables data minimization with automated discovery and policy-driven masking. Preserve only what’s necessary and protect what’s sensitive. Reduce exposure without compromising operational needs.

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Masked copies of production data letting developers and AI models work with compliant datasets

Secure, compliant data usage

Masking keeps sensitive data protected while maintaining its usability. DSM de-identifies copies of production data, so developers only work with secure, compliant datasets. It also ensures compliance by obfuscating data before it’s fed into AI models.

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Customer story

Driving compliance, visibility, and protection at Western Union

PKWARE has become a trusted strategic partner in strengthening Western Union’s data governance and security posture. Their solutions give us visibility into sensitive data, simplify compliance, enable our data subject access request responses, and help us to meet our privacy and protection objectives.

Craig Sharkey
Former Chief Privacy and Data Governance Officer · Western Union

What it does

PK Protect Data Store Manager features

Discovery

Automatically scan repositories to ensure sensitive information isn’t where it shouldn’t be. Accurate discovery resolves visibility gaps, so security teams can take fast, informed actions to secure data.

Masking

DSM mitigates risks at scale by concealing confidential data from unauthorized access. Masking protects customer, financial, and regulated data, enabling secure use without exposure.

PK Protect Provides Broad Platform Integration

WindowsTeradataSolarisSnowflakeSharePointSalesforceAWS S3PostgreSQLOracleOneDriveMySQLMS SQL Server

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Questions

Data Store Manager FAQs

PK Protect Data Store Manager supports discovery and masking on structured, semi-structured, and unstructured data. It can do so across various platforms, including:

  • On-prem, for example Oracle, SQL Server and DB2
  • Cloud databases, for example Amazon Redshift, AWS RDS, Azure SQL and Google CloudSQL
  • Hadoop
  • Cloud file repositories, for example AWS S3, Google Cloud Storage, Azure Data Lake and Blob storage
  • Packaged applications, for example Salesforce, Dynamics CRM and Neo4J

Yes. PK Protect Data Store Manager scans and protects petabytes of data across on-prem, hybrid, and cloud environments. It applies policy-driven remediation, such as masking, tokenization, or encryption, automatically. A top U.S. bank uses PK Protect Data Store Manager to discover and protect sensitive data in over 400 applications, including 18,000 databases containing nearly a million tables.

Yes. DSM is highly configurable. It allows organizations to define custom policies and remediation workflows and integrate with existing security frameworks.

It automatically discovers and classifies sensitive data across on-prem, cloud, databases, data lakes, packaged applications, and even mainframes. This includes the discovery of untracked or forgotten data, known as “shadow data.” Once it discovers and classifies the data, PK Protect Data Store Manager applies policy-driven masking to eliminate hidden risks.

Yes. PK Protect Data Store Manager meets the requirements of major data protection regulations, including PCI DSS, GLBA, HIPAA, GDPR, CCPA, and FISMA. It offers automated policy enforcement, audit-ready reporting, and pre-built sensitive data types that are customizable to streamline compliance across all environments.