MIND Security launches data loss prevention for autonomous AI agents

MIND Security announced DLP for Agentic AI on January 28, 2026. The solution applies a data-centric security model tailored for autonomous AI agents. It discovers active AI agents across endpoints, SaaS applications, homegrown systems, and third-party tools. The product detects agents that create, access, transform, or share sensitive data and maps those actions to data risk. Key features include governance controls that enforce safe data interactions without blocking productivity, plus real-time monitoring and automated remediation for risky agent behavior. Unlike traditional DLP built for human workflows, this system uses context-aware automation to handle unpredictable agentic patterns. MIND co-founder and CEO Eran Barak said organizations need data protection to realize AI-driven outcomes. Service Corporation International uses the solution to secure generative AI initiatives while maintaining strong data controls.

Why It Matters

• Gives security teams visibility into agent activity across environments and enables real-time remediation to reduce data exposure.
• Lets organizations scale agentic AI across SaaS, endpoints, and custom systems without disrupting workflows.
• Shifts defense toward proactive data governance, adding data-level controls that complement model security for comprehensive AI protection.