Dify for industries

How a self-hosted Dify deployment changes by sector: data that must stay inside, regulators' expectations for AI use, and integration with sector systems.

Dify for healthcare organizations

Running Dify where clinical and patient data is involved: self-hosted models to keep PHI internal, log retention, human review steps for clinical content, and access control for staff-facing assistants.

Dify for banks and financial services

Dify in regulated finance: model risk management expectations, audit logs and app versioning, data residency, DORA ICT risk obligations and approved model provider lists.

Dify for government and public sector

Dify for agencies: sovereign or air-gapped hosting, citizen-facing assistants with web app access control, accessibility of embedded apps, and procurement of support for open-source AI platforms.

Dify for universities and education

Dify for campuses: staff and student assistants behind campus SSO, course material knowledge bases, cost control with self-hosted models, and student data protection.

Dify for manufacturing

Dify on the plant and engineering side: knowledge bases from manuals and work instructions, on-premises models for intellectual property, and integrations with ticketing and maintenance systems.

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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.

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  • Clear next steps: a scope and plan after the call.
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