Encryption in transit and at rest
Documents and derived data are encrypted while moving between systems and while stored.
Security
Your documents stay under your control
Business documents are sensitive by nature. DocMind AI is being built with data protection as a core design constraint, not an afterthought.
Access controls
Workspace-level permissions determine who can view, upload, and analyze documents.
Data isolation
Each workspace's documents and indexes are logically separated from other customers' data.
Purpose-limited processing
Documents are processed to deliver the analysis you request — not to train shared models.
Deployment options
Cloud deployment by default, with architecture designed to support stricter isolation requirements.
Retention control
Delete documents and their derived data from your workspace when they're no longer needed.
A note on compliance
Built toward enterprise expectations
DocMind AI is in early access. We're designing our security practices with enterprise requirements in mind and will share formal compliance documentation as the program matures. Have specific requirements? Tell us when you request access and we'll discuss them directly.
Have security requirements for your documents?
Request early access and tell us what your team needs — security conversations are part of onboarding.