The content discusses best practices for securing GenAI applications in Azure, particularly focusing on Azure OpenAI. It emphasizes the importance of protecting data integrity, network security, access and identity security, application security, and governance security. These best practices include data classification, encryption, network segmentation, RBAC, multi-factor authentication, secure coding, and compliance with legal and regulatory requirements. The document provides a comprehensive overview of security considerations for GenAI applications in Azure.
Security Best Practices for GenAI Applications (OpenAI) in Azure
The content discusses best practices for securing GenAI applications in Azure, particularly focusing on Azure OpenAI. It emphasizes the importance of protecting data integrity, network security, access and identity security, application security, and governance security. These best practices include data classification, encryption, network segmentation, RBAC, multi-factor authentication, secure coding, and compliance with legal and regulatory requirements. The document provides a comprehensive overview of security considerations for GenAI applications in Azure.