Seattle – November 09, 2026 -- MIND has launched DLP for Agentic AI, a data-centric security product that identifies active AI agents across the enterprise and on endpoints, detects risky data access in real time, and autonomously alerts and remediates issues.
MIND targets data access before AI agents act
Agentic AI can autonomously create, access, transform and share data across SaaS applications, local devices, homegrown systems and third-party tools. MIND says that without clear visibility and controls, the resulting data security gaps can slow AI adoption and put business outcomes at risk.
The company says it secures the data rather than the models or their outputs. Sensitive data is understood, governed and protected before any AI agent can access or act on it.
Product covers discovery, detection and control of AI agents
- Identification of active AI agents, including embedded SaaS capabilities, homegrown agents and third-party tools
- Real-time monitoring of agent behavior, with autonomous alerting and remediation of risky data access
- Controls intended to let data and agentic AI interact safely without slowing productivity
Service Corporation International uses MIND for GenAI security
MIND says customers already use its platform to support enterprise AI initiatives and the secure use of GenAI. Zac Fletcher, Assistant Vice President of IT Security at Service Corporation International, said the platform gives him the "visibility, capabilities and confidence" to let the business benefit from AI efficiencies without compromising data security.
Legacy DLP was built for human-driven workflows
MIND argues that traditional DLP programs were designed for predictable, human-driven workflows, while agentic AI acts autonomously and at AI speed. DLP for Agentic AI adds context-aware automation intended to prevent risk before it affects the business.
CEO and Co-Founder Eran Barak said AI outcomes materialize only when data is protected, understood and governed.