Managing AI Guardrails and Content Safety in Foundry

Deploying generative AI models requires robust safety measures to prevent harmful outputs and protect sensitive data. This course teaches you how to establish strong security boundaries for your AI workloads using Foundry safety tools. You will start with foundational AI safety concepts, then progress to configuring content filters, customizing blocklists, and implementing Prompt Shields to mitigate prompt injection risks. What you'll learn: 1. Understand the core principles of AI safety, threat landscapes, and modern content moderation. 2. Configure content filters to detect and block harmful categories, including hate speech and violence. 3. Create and manage custom blocklists to restrict restricted terminology and policy violations. 4. Implement Prompt Shields to defend your models against prompt injection attacks and jailbreaks. 5. Evaluate and validate guardrail performance using systematic testing and safety metrics. 6. Monitor AI workloads continuously to refine safety policies and handle emerging vulnerabilities. This written course begins with essential terminology and safety frameworks before guiding you through step-by-step configuration workflows and validation strategies. It is designed for beginners, developers, and administrators looking to secure their AI applications, with no prior AI security experience required. Start building safer, more reliable AI systems today.