Most enterprises can now find their sensitive data. DSPM tools have improved visibility across on-prem, cloud, and SaaS environments. Yet breaches and policy violations still happen, largely because risk shows up after data leaves storage. Email, file sharing, and transfers remain the moments where sensitive information is most likely to be exposed.
Kiteworks recently partnered with BigID to address this problem. Instead of stopping at discovery, it connects BigID’s classification directly to Kiteworks’ control of the channels where data is actually shared. The practical outcome is simple: when sensitive data moves, protection moves with it.
What actually changes with this integration
BigID identifies and classifies sensitive data, applying labels and risk context, including Microsoft Purview Information Protection labels. Those labels are fed directly into the Kiteworks Private Data Network. From there, policy enforcement happens automatically during email, file sharing, managed file transfer, APIs, secure forms, and controlled viewing and editing.
This matters because enforcement no longer depends on separate tools coordinating in real time. Policies activate only when sensitive data is involved, which reduces overblocking while still limiting exposure.
David Byrnes, VP of Global Channels at Kiteworks, told MSSP Alert, “DSPM, DLP, and CASB products do a solid job of discovering and classifying data, but they typically have to rely on other tools to enforce policies once data starts moving. Kiteworks owns the data paths themselves, including email, file sharing, MFT, viewing, and possessionless editing, so policies can be enforced the moment someone tries to share sensitive content.”
Fewer handoffs, fewer blind spots
In many environments, labels are passed from discovery tools to enforcement platforms through multiple integrations. Each handoff introduces delay and potential gaps. By enforcing policy inside its own communication infrastructure, Kiteworks reduces that complexity.
The result is more consistent control. Encryption, watermarking, next-generation digital rights management, role-based and attribute-based access controls, or blocking can all be applied based on data sensitivity and context. Every action is recorded in centralized, immutable audit logs, which simplifies investigations and compliance reporting.
Why this matters for MSSPs
For MSSPs, the challenge is not just security effectiveness but operational scale. Managing different discovery and enforcement stacks for each customer increases cost and limits how quickly services can be rolled out.
“For MSSPs, this centralizes policy enforcement across all customer communication channels in a single platform, while automatically inheriting each customer’s data classifications,” Byrnes said. “It removes the need to manually integrate and maintain separate controls across multiple tools for every client.”
That shift allows MSSPs to standardize data protection services while still honoring each customer’s unique data sensitivity rules. “This reduces configuration overhead, simplifies compliance reporting, and makes it easier to onboard new customers without redesigning their security stack,” Byrnes added.
The integration works with existing BigID deployments and supports Microsoft Information Protection labels out of the box, with deeper API integrations available. The bigger point is not the technology detail but the outcome: DSPM investments start producing measurable control at the point of data exchange.
As sensitive data continues to move across people, systems, and partners, the question is no longer whether organizations can find it. The real test is whether they can control it when it matters most.
