Encryption
Connections use TLS. Managed database storage is encrypted at rest, with additional column-level protection for stored Slack bot tokens.
An overview of Docpipe’s current data protection, authentication, authorization, and responsible AI controls.
Why it matters
Docpipe protects internal documentation, source context, and connected workflows with layered controls across data storage, authentication, authorization, and AI-assisted actions.
Each capability is useful on its own. Together, they make documentation easier to create, trust, and reuse.
Connections use TLS. Managed database storage is encrypted at rest, with additional column-level protection for stored Slack bot tokens.
Supabase row-level security and server-side checks scope data access by organization, membership, privilege, and space visibility.
Slack, GitHub, and Confluence access is limited by installation choices, granted permissions, and configured workflows.
Citations, approval flows, feature flags, and granular edit review keep important AI output inspectable.
How it works
No content graveyard. No magic black box. Each step has an understandable output and owner.
Users sign in through supported identity flows and organization membership.
Roles, privileges, document status, and space access determine available content and actions.
Source citations and proposed-change review help teams verify AI output.
Common questions
Contact security@docpipe.co for the latest audit status and the security documentation available for your review.
Docpipe does not use Slack data to train language models. Contact Docpipe for contract-specific AI data-processing details.
Email security@docpipe.co with reproduction steps and allow a reasonable disclosure window.
Ask for current security documentation, subprocessors, or data-processing details.
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