Dive into the AI Shared Responsibility Model!

source: Microsoft

AI is more than just a buzzword. It’s a tool that is reshaping industries and changing the way we work. But how can it be harnessed effectively and safely? The AI Shared Responsibility Model provides a roadmap. Let’s break it down!

🤝 In the AI Shared Responsibility Model, tasks are divided between the AI platform or application provider and you. This varies depending on whether you’re using Software as a Service (SaaS), Platform as a Service (PaaS), or Infrastructure as a Service (IaaS).

• https://learn.microsoft.com/en-us/azure/security/fundamentals/shared-responsibility-ai?WT.mc_id=DT-MVP-5001664

🚀 An AI-enabled solution has three layers: AI platform, AI application, and AI usage. Each layer groups tasks performed by either you or the AI provider. The security responsibilities generally reside with whoever performs the tasks.

• ✅ The AI platform layer provides the AI capabilities to the applications. It’s critical to build and safeguard the infrastructure that runs the AI model, training data, and specific configurations. This layer provides access to functionality via APIs. https://learn.microsoft.com/en-us/azure/ai-services/openai/overview?WT.mc_id=DT-MVP-5001664
• ✅ The AI application layer provides the service or interface that the user consumes. Its complexity…