Kiteworks Private Data Network (PDN) is a unified platform for the secure exchange of sensitive data between employees, partners, enterprise systems, and AI applications. It brings multiple data exchange channels under centralized security policies, access controls, and end-to-end auditability.
Kiteworks Private Data Network helps organizations control and protect sensitive data throughout its exchange and use—both inside the enterprise and when collaborating with customers, partners, and external systems.
Instead of relying on fragmented tools for email, file sharing, MFT/SFTP, web forms, APIs, and other communication channels, Kiteworks provides a unified secure environment with a centralized policy engine and a consolidated audit trail. This enables organizations to apply consistent security requirements regardless of how data is exchanged or who accesses it.
Kiteworks Private Data Network is designed for organizations that need to reduce the risk of sensitive data leakage, gain visibility into data exchanges, control the actions of internal and external users, and address industry and regulatory compliance requirements.
The platform also extends enterprise-grade governance to modern AI use cases. Organizations can control how AI applications and AI agents access corporate data, enforce role- and attribute-based access policies, and maintain detailed visibility into AI interactions with sensitive information.
Key Capabilities
- Unified secure data exchange platform — email, file sharing, MFT, SFTP, web forms, REST APIs, and other channels operate within a common security framework.
- Centralized Data Policy Engine — consistent policies determine who can access, send, view, edit, or use sensitive information and under what conditions.
- Granular access control — support for RBAC and ABAC, sensitivity labels, geofencing, and other contextual attributes.
- Unified audit trail — centralized logging of sensitive data activities for monitoring, investigations, and audit preparation.
- AI data access governance — control over how AI applications and AI agents interact with enterprise data, including MCP-based use cases.
- Protection for data in transit and in use — encryption and security controls help organizations maintain control over sensitive information when it is exchanged with external parties.
- Data-Centric Security with OpenTDF — protection policies can remain associated with the data and continue to apply regardless of its location.
- SafeEDIT — enables external users to edit documents securely in a browser without taking possession of or downloading the source file.
- Enterprise integrations — connectivity with Microsoft 365, SharePoint, OneDrive, Salesforce, Amazon S3, Azure Blob Storage, Dropbox, Box, and other enterprise systems and repositories.
- Flexible deployment options — hardened, single-tenant architecture designed to support organizational security and data sovereignty requirements.
Compliance support — centralized controls, audit records, and reporting help organizations address requirements such as GDPR, NIS 2, DORA, HIPAA, CMMC 2.0, PCI DSS, and other regulatory and industry frameworks.