How a self-hosted Dify supports the evidence regulated AI deployments need, mapped to verified framework requirements.
Using self-hosted Dify features for EU AI Act deployer duties on high-risk systems: keeping logs for at least six months against Dify's 30-day cleanup default, recorded human oversight with the Human Input node, tracing for monitoring, and the gaps a deployer still covers.
Where personal data lands in a Dify deployment (conversation logs, uploaded files, knowledge chunks, traces), retention settings, end-user identifiers, erasure requests and keeping processing in EU infrastructure.
Using a self-hosted Dify inside an ISO/IEC 42001 AI management system: app inventory, version history, audit logs on Enterprise, human review nodes, model provider records and the evidence an auditor can sample.
Mapping Dify controls to NIST AI RMF functions: tracing and logs for measurement, moderation endpoints and annotation replies for management, access control and environment separation for governance.
What a SaaS company running Dify must show a SOC 2 auditor: access reviews from roles and SSO, audit log exports, change history from app versions, backups, logging retention and vendor records for model providers.
Running Dify where protected health information may appear: self-hosted models or providers under a BAA, encryption of stored credentials, log retention, access control and the audit trail the HIPAA Security Rule expects.
The Dify Enterprise audit log: recorded operations from DSL export to web app access changes, the 90-day online query window, CSV export for older records, and feeding exports into a SIEM for retention.
Tell us what you're working on, whether it's a deployment, an audit, a security test or a cyber range. You'll speak with an engineer who can help you scope it.