Global – October 23, 2026 -- MIND can automatically apply a company's remediation policies when it detects an exposure issue in data at rest, or it can route the fix to a human reviewer first.
MIND targets three gaps that leave sensitive data exposed
The vendor says manual labeling of sensitive data is burdensome, error-prone and creates security gaps. Sensitive elements often go undetected, so compliance and security risks persist unnoticed. "Anyone with a link" sharing can bypass controls and give unauthorized users access to sensitive files without detection or restriction.
MIND classifies data using company-specific business context
The platform maintains a catalog of resources, users, authorizations, file activities and metadata. MIND says this catalog is meant to keep at-rest security policies effective over time.
MIND AI sets risk severity from business context across all data at rest. The company has developed its own language to describe user-data interactions, which it says speeds detection and enables automated fixes aimed at root causes.
MIND lets security teams choose between full automation and approval workflows
Customers can automate remediation end-to-end or review and approve each action. MIND also works with users and data owners during remediation, which it says makes fixes faster, more transparent and educational.