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Explore how confidential computing technologies converge with artificial intelligence to create trustworthy AI ecosystems in this 37-minute conference session. Discover the critical importance of privacy, integrity, and trust as enterprises adopt agentic AI systems—autonomous technologies capable of reasoning, decision-making, and orchestrating complex workflows using sensitive business data and proprietary models. Learn about the emerging paradigm of Confidential AI, which leverages hardware-based isolation, encryption, and attestation through Trusted Execution Environments (TEEs) including Intel TDX and SGX technologies. Understand how these solutions prevent unauthorized access and safeguard sensitive information throughout the entire AI execution lifecycle, protecting data and models processed on CPUs, GPUs, and accelerators even when running on untrusted infrastructure. Examine the regulatory landscape driving adoption, particularly in Europe with the EU AI Act and GDPR requirements for rigorous privacy and compliance controls. Investigate real-world applications in healthcare where confidential computing enables collaborative innovations like federated learning while maintaining strict data confidentiality. Gain insights into how Confidential AI addresses advanced cyber threats and rogue behaviors while enabling secure innovation and compliance across industries without compromising privacy, integrity, or safety in the age of autonomous intelligent systems.
