Webflow AI: Our approach

Webflow AI streamlines workflows, personalizes experiences at scale, and improves performance — with built-in guardrails to protect your brand, your data, and your control over it all.

Table of contents

At Webflow, we believe that AI should help you move faster and stay focused on work that needs a human touch, like strategy and creativity.

That shapes three commitments that we bring to every decision about Webflow AI:

  • Expand Webflow's mission of bringing development superpowers to everyone
  • Design Webflow to be AI-native and extensible
  • Protect your data and privacy with robust security controls

AI governance in Webflow

Human workflows have natural limits: working hours, review cycles, approval checkpoints. AI doesn’t: It can act continuously and at scale across workflows and systems. Because of this, control and accountability are essential.

That's why all generative AI capabilities in Webflow are governed at the Workspace level — with a workspace-wide toggle, granular role-based controls, and audit logging available for enterprise teams who need deeper visibility and accountability.

With this toggle, Workspace administrators can:

  • Enable or disable generative AI capabilities
  • Align AI usage with internal policies
  • Determine when and how AI features are made available to Workspace users

This keeps AI in Webflow a deliberate choice rather than an invisible layer. 

Protecting your data

Webflow doesn't use customer data to train generative AI models, and customer prompts and outputs are not used to improve foundational models. 

We work with trusted model providers under contractual and technical safeguards that prohibit training on customer data. 

As AI systems become more capable, protecting data ownership becomes even more important. Our approach ensures AI enhances your experience without compromising your privacy.

Built on trust

Trust isn't static — it's continuously earned. 

Webflow AI runs on the same security and privacy foundation as the rest of our platform.

We evaluate models before deployment, conduct ongoing risk assessments, and hold vendors to strict contractual standards so AI capabilities meet the same bar for reliability and safety as everything else we ship.

For up-to-date details on security architecture, compliance frameworks, vendor diligence, and model transparency, visit the Webflow Trust Center.

Frequently asked questions

Webflow does not use customer data to train generative AI models, and we sign agreements with third-party vendors that prohibit use of customer data to train their models. Webflow processes customer data to provide responses to prompts, but these inputs and outputs are not shared with other customers. For additional information, please see Webflow’s Product Terms.

Webflow is multi-model by design. We partner with leading AI vendors — including OpenAI and Anthropic — that meet our rigorous standards for security, compliance, and capability. We get early access to new models, test extensively, and select the best fit for each feature before any changes reach customers.

Webflow takes a privacy-conscious approach to AI. Webflow maintains active SOC 2 Type II, ISO 27001, ISO 27017, and ISO 27018 certifications — each affirming our commitment to safeguarding data and upholding rigorous security controls. As the landscape of AI regulation continues to evolve, we’re actively evaluating and aligning our internal controls with emerging frameworks such as ISO 42001 and the EU AI Act. This forward-looking approach helps ensure our use of AI remains responsible, compliant, and in service of our community’s trust.

Visit the Webflow Trust Center for up-to-date information on AI security, governance, vendor diligence, and compliance practices.