MIND Expands Endpoint DLP to Help Enterprises, MSSPs Secure GenAI Use at the Edge - MSSP Alert

MIND has expanded its endpoint data loss prevention (DLP) capabilities, giving MSSPs and enterprises a sharper way to secure sensitive information as AI tools become part of everyday work. The update focuses on the endpoint - the point where most data exposure starts - and brings context-aware protection that works quietly in the background while users stay productive. Eran Barak, Co-Founder and CEO at MIND, told MSSP Alert that the expansion reflects how security must adapt to the realities of GenAI use. “MIND’s Endpoint DLP gives organizations visibility and control over how sensitive data interacts with GenAI tools, directly at the endpoint, where most exposure begins,” he said. “MIND automatically discovers and classifies data before it enters AI tools like ChatGPT or Copilot, preventing sensitive content such as PHI, CUI, or passwords from being shared unintentionally. Because MIND’s controls operate natively within applications, users can work freely while policies quietly enforce compliance in the background, without disruption or friction. This allows security teams to enable responsible GenAI adoption rather than block it, supporting innovation without compromising protection.” Simplifying a Persistent Pain Point Traditional DLP has long been associated with noise, friction, and limited context. MIND takes a more adaptive approach, using automation and AI-driven classification to minimize false positives and let alerts surface only when they truly matter. “Legacy DLP is often cumbersome, complex, and inefficient,” said Barak. “MIND redefines the experience by combining automation, clarity, and context in one unified platform. MIND reduces noise through context-aware classification and AI-driven policy enforcement, meaning alerts only surface when they truly matter. Everything else is handled automatically through precise remediation workflows—like Microsoft MIP labeling, Google Tagging, and permission adjustments—without manual intervention. By combining all major DLP components—discovery, classification, detection, remediation, policy management, and enforcement—in one system, MIND simplifies operations and drastically reduces the burden on security teams.” This approach helps organizations standardize enforcement while cutting operational overhead. Security teams spend less time reacting to alerts and more time shaping policies that align with business needs. Designed for MSSPs and Scale For MSSPs and large enterprises, scaling consistent data protection across multiple clients has always been difficult. MIND’s unified platform was built with this challenge in mind. “The MIND platform simplifies the discovery of unique sensitive data for each client, enabling seamless cross-architecture implementations,” Barak said. “Its architecture provides a shared framework for classification, policy management, and enforcement, ensuring consistent protection and visibility across all clients. Much of the busy work that MSSPs have come to know with client-facing DLP can be automated, so that more time can be spent focused on strategy rather than configuration. This unified approach streamlines policy management and guarantees consistent enforcement, even across diverse environments.” Smarter, Context-Aware Protection At the center of MIND’s approach is its AI-native multi-layer classification engine. Unlike older tools that rely on keyword rules, MIND’s system continuously learns from data behavior and relationships to apply policy in real time. “Unlike legacy tools that rely solely on keyword matching or manual rule creation, MIND’s AI-native multi-layer classification engine understands the full context of what data is sensitive, who is accessing it, and- with this upgrade for endpoint DLP—where it is coming from or going to,” said Barak. “It continuously learns from behavior and data relationships to enforce policies that make sense in real time. This results in fewer false positives and far less operational noise. While other DLP products react, MIND anticipates. Its contextual intelligence ensures protection follows the data everywhere it travels, across cloud, endpoint, and application, keeping security seamless, discreet, and consistently applied.” Quiet, Confident Protection MIND’s Endpoint DLP repositions data protection as an enabler, not a barrier. It’s designed to operate quietly - adaptive, automated, and aligned with how people actually work. “MIND’s Endpoint DLP transforms DLP from a restrictive tool into an intelligent, autonomous system that empowers businesses to innovate securely,” Barak said. “It’s an advanced, automated, and future-ready approach to data security.” By extending its AI-native platform to endpoints, MIND brings together visibility, automation, and user experience. As AI becomes embedded in everyday workflows, this expansion gives security teams what they’ve needed for years: a way to protect data without getting in the way of progress.