MIND unveils DLP for Agentic AI to secure data use

MIND has launched an autonomous data loss prevention product aimed at organisations that use agentic AI systems across business applications and endpoints.

The company said the product, called DLP for Agentic AI, uses a data-centric approach to AI security. It focuses on how sensitive data is accessed, used and controlled when AI agents act with more autonomy.

Agentic AI systems can create, access, transform and share data across SaaS applications, local devices, in-house systems and third-party tools. MIND said that pace and reach can introduce new risks for security and governance teams.

"Organisations aren't adopting AI for experimentation alone. They're adopting it to drive innovation and outcomes," said Eran Barak, Co-Founder and CEO, MIND. "Those only materialize when data is protected, understood and governed. MIND's DLP for Agentic AI gives security teams the controls they need to protect sensitive data used by AI agents."

Data-first security

MIND said organisations now face a growing set of security tools and categories linked to agentic AI. The company said many efforts focus on models and outputs rather than the data that AI agents can reach.

MIND positioned its new product as an approach that governs data before an AI agent can access it. The company said this shifts security work to earlier points in AI workflows, rather than reacting after an agent has acted or after content has been generated.

MIND said its system identifies AI agents active across an enterprise and on endpoints. The company said this includes embedded SaaS features, in-house agents and third-party tools.

MIND has stated that its product is designed to detect risky data access by AI agents while monitoring behaviour in real time. The platform can issue alerts and initiate autonomous remediation actions immediately as issues emerge.

According to the company, customers can implement controls that govern the interaction between data and agentic AI. The product is engineered to maintain robust security guardrails without compromising organisational productivity.

Operational shift

The launch reflects a broader shift in how organisations approach data loss prevention. Traditional DLP programmes commonly centre on predictable workflows that involve human decisions and defined routes for data movement. Agentic AI changes that model. AI agents can act continuously and can make decisions at machine speed.

MIND said it uses context-aware automation for data security in response to that shift. The company said it aims to prevent risks before they affect business operations.

The company framed the product as relevant to organisations that run multiple AI agents in parallel. It also framed it as relevant to organisations that allow employees to use embedded generative AI features within SaaS tools.

Customer use

MIND said customers already use its platform for enterprise AI initiatives and for the secure use of generative AI. It did not disclose customer numbers or pricing.

Service Corporation International, which provides funeral, cremation and cemetery services, cited the platform's role in balancing efficiency gains and data security.

"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, Service Corporation International. "The MIND platform gives me the visibility, capabilities and confidence to do this."

Company focus

MIND is based in Seattle and positions its platform around autonomous discovery and classification of sensitive data. The company also said it can fix data security issues and stop data leaks in one place.

The company said it views data security controls as a key requirement for wider adoption of agentic AI inside large organisations. MIND said it expects organisations to continue investing in agentic AI and said its approach centres on governing sensitive data before AI agents can act.