Securing On-Device AI with Copilot+ PCs

As organizations rapidly adopt artificial intelligence, securing sensitive data at the endpoint is more critical than ever. This course introduces you to the modern security architecture of Copilot+ PCs, demonstrating how local AI processing keeps your data protected from the ground up. You will gain a solid foundation in modern hardware-backed security, understanding how to safeguard identities, devices, and applications from emerging threats. By exploring the synergy between advanced hardware and operating system defenses, you will be prepared to support robust security baselines for AI-enabled environments. What you'll learn: - Understand the fundamentals of on-device AI processing and its privacy advantages over cloud-only models. - Explore hardware-backed security architectures, including the Pluton security processor and hardware root of trust. - Configure Windows 11 Pro security features to protect user identities and system integrity. - Apply Zero Trust security principles to modern endpoint management and AI workloads. - Analyze how secure enclaves and isolated environments protect sensitive data during local AI execution. This text-based course guides you through foundational security definitions before moving into the practical integration of hardware and software defenses. You will read detailed explanations of security policies and analyze architectural patterns for secure endpoint deployment. This course is designed for IT professionals, security beginners, and system administrators looking to understand the next generation of AI-powered device security. No prior experience with hardware security is required. Begin reading today to build a secure foundation for on-device AI.