𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐆𝐞𝐧𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 (𝐎𝐩𝐞𝐧𝐀𝐈) 𝐢𝐧 𝐀𝐳𝐮𝐫𝐞
LLM apps pose significant security challenges that need to be addressed by developers and administrators of GenAI applications. These challenges include:
➡ Protecting the confidentiality and integrity of the data used to train and query the LLMs
➡Ensuring the availability and reliability of the LLMs and their services
➡Preventing the misuse or abuse of the LLMs by malicious actors or unintended users
➡Monitoring and auditing the LLMs' outputs and behaviors for quality, accuracy, and compliance
➡Managing the ethical and social implications of the LLMs' outputs and impacts
Learn Best Practices of Security for GenAI Applications in Azure:
✔ 𝐃𝐚𝐭𝐚 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲
✔𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲
✔𝐀𝐜𝐜𝐞𝐬𝐬 𝐚𝐧𝐝 𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲
✔𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲
✔𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲
https://techcommunity.microsoft.com/t5/azure-architecture-blog/security-best-practices-for-genai-applications-openai-in-azure/ba-p/4027885
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