At its core, Data Loss Prevention (DLP) is a set of technologies and processes designed to prevent the unauthorized exfiltration of sensitive data from an organization's network.
Too often, the Policy Decision Point is either misunderstood or glossed over as a minor detail. But in Zero Trust Architecture, details are everything.
As security professionals, we understand the gap between detection and response can be frustrating. An event happens on an endpoint, but our identity platform doesn't know about it.
Agentic AI is the next logical and powerful step. Think of it less as a tool you command (like GenAI) and more as a trusted, autonomous partner that can execute complex tasks on your behalf.
NIST published the final version of SP 1800-35: Implementing a Zero Trust Architecture. This publication is a practical guide designed to help organizations navigate the complexities of ZTA implementation.
We’re honored by this recognition and remain focused on our mission: to support Federal agencies with the tools, expertise, and innovation needed to protect and advance their operations.