Securing Generative AI with Guardrails in Azure AI Foundry

As generative AI models become central to modern software, ensuring they remain safe, ethical, and secure is a critical priority. Deploying models without proper boundaries risks exposing your users to harmful content, data leaks, and adversarial manipulation. This written course guides you through the process of implementing robust safety measures using Azure AI Foundry, helping you protect your applications from unexpected user inputs and model outputs. What you'll learn: - Understand foundational generative AI safety concepts and the modern threat landscape. - Configure Content Safety filters to detect and block harmful, violent, or hateful material. - Mitigate prompt injection and jailbreak attempts targeting your language models. - Apply zero-trust security concepts to your AI application architectures. - Test and evaluate guardrail effectiveness through structured text-based scenarios. You will start with essential definitions of AI safety and security before moving into step-by-step configurations. The training covers practical setup, customization of threshold levels, and testing strategies to ensure your guardrails perform reliably. This course is designed for beginner developers, cloud administrators, and AI enthusiasts who want to secure their deployments, with no prior security experience required. Start reading to build safer, more reliable AI systems today.