This Intel white paper explores how the Intel Trusted Data and AI Platform (Intel TDT) enables secure, scalable AI at the edge. It highlights the need to protect sensitive data during AI model training and deployment, especially for healthcare, finance, and government use cases. Intel TDT combines hardware-based security (SGX, TDX) with federated learning and confidential computing to ensure data privacy across distributed systems. The platform supports AI lifecycle stages—from ingestion to inferencing—while maintaining performance, compliance, and trust in zero-trust environments.

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