MIND launches autonomous DLP for agentic AI

MIND announced Data Loss Prevention (DLP) for Agentic Artificial Intelligence (AI), a data-focused offering intended to help enterprises rely on agentic AI by addressing trust in how data is accessed, used and controlled.

Enterprises were described in the release as moving quickly to adopt agentic AI to drive faster decision-making, increased productivity and new operational efficiencies, and the announcement framed trust in data access and control as a critical requirement for those outcomes.

The company presented a data-centric approach that targeted sensitive data before agents could act on it, emphasizing discovery, classification and governance. The announcement described capabilities to identify AI agents active across the enterprise and on endpoints, detect risky data access, monitor agent behavior in real time, and autonomously alert and remediate issues while applying controls to allow data and agents to interact without slowing productivity.

The release said customers were already using MIND to support enterprise AI initiatives and the secure use of Generative AI (GenAI) while maintaining strong data security. It also contrasted the new offering with traditional DLP programs by describing agentic AI as operating differently and noted that the product introduced context-aware automation to prevent risk before it affected the business.

“Organizations aren't adopting AI for experimentation alone. They're adopting it to drive innovation and outcomes,” said Eran Barak, Co-Founder and CEO at MIND. “It's crucial that we enable the business to benefit from the efficiencies that AI can offer without compromising the security of our data,” said Zac Fletcher, Assistant Vice President of IT Security at Service Corporation International.

MIND positioned data security and controls as the missing piece required to achieve AI-driven outcomes as organizations continued to invest in agentic AI.