Global – October 23, 2026 -- MIND is marketing a data loss prevention (DLP) offering aimed at autonomous AI agents, arguing that a single misconfigured agent can reach sensitive information and spread it across workflows or to external tools within seconds.
AI agents run inside SaaS platforms, custom workflows and third-party services
MIND says agents are no longer standalone tools. They are embedded across enterprise systems, often act autonomously and work at machine speed. Embedded and third-party agents operate beyond traditional security visibility, and because they touch multiple systems, they widen exposure of sensitive enterprise data.
Legacy DLP and access controls miss autonomous software entities
Traditional DLP and access controls were built around users, files and known applications, according to MIND. They were not designed for software that runs continuously and adapts in real time. Security teams therefore struggle to establish where agents exist, what data they touch and whether those interactions comply with policy.
MIND warns that the gap raises exposure, regulatory risk and loss of trust. It also argues that slowing adoption is not an option, since business leaders expect agentic AI to deliver efficiency, innovation and competitive advantage. Rigid controls, it adds, frustrate teams and limit agent-driven productivity.
MIND lists five capabilities for governing agent activity
The company says its platform helps security teams:
- Identify all active AI agents
- Understand exactly what data agents access
- Apply data controls that protect sensitive information
- Reduce risk without adding friction
- Enable secure, scalable adoption of agentic AI
The announcement gives no pricing, customer figures, deployment timelines or performance metrics.