Simplify Data Sharing Without Compromising Security
PK Protect’s redaction capability removes sensitive data, such as Social Security numbers, credit cards, and other PII, but retains structure to preserve context for operational use. For example, a Social Security number would look like this: XXX-XX-1234.
By keeping information secure yet usable, redaction empowers teams to collaborate and exchange information with third parties without exposing personal or confidential information.

Data Redaction Software for an Enhanced Security Posture
Data Redaction Software Features

Policy Driven Protection
Define discovery and redaction policies for sensitive elements like credit card numbers, addresses, PHI, or any PII. Customizable policies ensure redaction rules apply uniformly across all files and data sources, with different types of redaction for different types of data. Policy-based discovery removes manual, error-prone processes by continuously scanning repositories and the files within them. Apply redaction whenever you place a new file into a repository or when you add sensitive data to an existing file.
Preventing Exposure in Critical Business Applications
Banking systems, ERPs, EMRs, and other production environments store sensitive customer, employee, and business data. This information is typically secure in the core system, but what happens when it leaves? PK Protect discovers sensitive data residing outside of these mission-critical applications and automatically redacts it, ensuring data can’t be exposed to unauthorized parties.


Automated Data Redaction at Scale
Sensitive data isn’t isolated to one repository, location, or region. Data regularly moves and users and applications across the entire infrastructure access it. This includes desktops, file servers, OneDrive, SharePoint, and Outlook. Our data redaction solution automates detection and protection across these environments without user interaction. This ensures you don’t miss anything, and that you’re compliant with data security polices and mandates.






