MIND AI DLP Agents automate DLP classification, investigations and remediation

MIND has announced MIND AI DLP Agents with capabilities focused on classification, investigation, policies, remediation and exception management. MIND also includes a Model Context Protocol (MCP) interface that enables security teams to direct data security work through any MCP-connected client using natural language.

AI has fundamentally changed the speed and scale at which sensitive data moves. GenAI applications, Agentic AI and autonomous workflows create and move data faster than security teams can manually govern it. Yet many data security teams report spending the bulk of their time on building classifiers, investigating issues, tuning policies, monitoring exceptions and remediating exposure.

Data now moves with unprecedented speed. Data security must as well.

“AI has fundamentally changed how data is created and moves, but it hasn’t changed how most organizations secure it,” said Eran Barak, CEO of MIND. “Security teams are still spending countless hours on work that AI should be doing for them. It’s time that data security keeps pace with the speed of AI.”

Instead of requiring security teams to operate DLP day-to-day, the MIND AI DLP Agents perform the work that has traditionally consumed data security programs. They work alongside security teams as a force multiplier, increasing their effectiveness and scalability while freeing them to focus on reducing risk and enabling both business and innovation. The MIND AI DLP Agents specialize in the most time-consuming work our customers identified:

• Custom Classifier Agent automatically builds business-specific data classifiers at both the document and data-specific level, consults a judge for false-positives and self-improves.
• Policy Producer Agent suggests, creates and continuously refines policies from observed behavior and natural language instructions.
• Issue Investigator Agent analyzes incidents, uncovers patterns, explains risk and suggests remediation actions.
• Rapid Response Agent executes remediation actions and escalates when human approval is required.
• Reason Reviewer Agent evaluates user override justifications against organizational policy guidance in real time.

MIND also introduced an MCP interface that will make the AI DLP Agents available through MCP-compatible AI clients. Security teams can assign work in plain language, request investigations, draft policies and initiate remediation workflows without navigating multiple consoles or manually performing repetitive operational tasks. By combining conversational workflows with MIND’s automation and context-aware data security platform, organizations will be able to operate data security with greater speed, consistency and scale.

Organizations using MIND report an 80% reduction in DLP program effort, near-zero false positives and 50 percent less investigation time per incident. Customers also report deploying the solution in minutes, taking specific action to lower data security risk within a few hours and operating at scale without operational disruption.