Securely bringing your own AI to Tines

Tines emphasizes the importance of both flexibility and security in their platform, particularly when integrating AI models, by providing secure and private AI capabilities without data logging or internet transit. When using pre-trained foundation models from reputable providers like OpenAI or Anthropic, users should ensure compliance with data protection requirements, while those building their own models are advised to employ threat frameworks like the OWASP Top 10 for LLM Applications. Securing AI model serving providers involves using standardized REST APIs and considering factors such as authentication and encryption, with guidance from the OWASP Top 10 for Web Applications. For Tines customers, encrypted communication between model serving providers and Tines is crucial, alongside following best practices for API key management. Tines ensures data security by not using customer data for AI training and providing robust governance features, allowing customers to confidently integrate AI into their workflows while maintaining security and control.

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