How does Airtable ensure the security and privacy of enterprise data when using AI models?
Airtable maintains ISO, HIPAA, and SOC 2 compliance. It ensures no customer data is retained or used to train AI models, and all models run entirely within Airtable’s AWS environment. Additional security features include EKM, data loss prevention, audit logs, and e-discovery, with support for European and Australian data residency.
What AI models can be integrated and utilized within Airtable's platform?
Airtable supports the use of AI models from leading providers. These include OpenAI, Gemini, Llama, and Anthropic, allowing for diverse AI capabilities within workflows.
Can Airtable scale to support large enterprise operations and extensive datasets?
Yes, Airtable is designed for enterprise-grade scalability. Its HyperDB can handle record limits in the hundreds of millions, and workflows can scale to tens of thousands of users.
What administrative controls are available for managing AI functionalities and user access within Airtable?
Airtable offers flexible administration with admin roles, robust permissions, and fine-grained RBAC. It includes specific controls to enable AI, programmatic provisioning and de-provisioning, and IDP synced groups for streamlined user management.
How does Airtable enable the creation of AI-powered applications without requiring coding expertise?
Airtable allows users to generate apps through conversational building and its best-in-class no-code components. This approach enables the development of sophisticated AI workflows and production apps without technical expertise.