Configuring AI Gateway Security in AI Foundry

Organizations deploying artificial intelligence must ensure that their model traffic and endpoints are fully secured against unauthorized access and emerging vulnerabilities. This course provides a clear, step-by-step path to understanding and implementing robust security measures using the AI Gateway. You will transition from understanding basic security concepts to confidently deploying, configuring, and monitoring an AI Gateway instance. By learning how to manage access controls and track model traffic, you will establish a secure environment for all your AI workloads. What you'll learn: - Understand the foundational architecture and security principles of AI Gateways - Deploy and configure an active AI Gateway instance within AI Foundry - Apply robust access controls and authentication policies to safeguard model endpoints - Monitor and log AI model traffic to detect anomalies and ensure compliance - Implement modern security practices including rate limiting and threat mitigation strategies The course begins with essential terminology and architectural overviews before guiding you through the practical steps of gateway configuration and policy management. You will read clear explanations and complete written scenario exercises to reinforce your learning. This course is designed for beginners in cloud security and AI operations, with no prior gateway configuration experience required. Start reading today to build a secure foundation for your organization's AI initiatives.