Arvind Raghu

The emergence of digital assets and stablecoins requires bridging traditional message-based finance protocols such as SWIFT and ISO 20022 to programmable settlement rails while preserving institutional security, auditability, and governance.

Agentic AI systems autonomously orchestrate tools, integrate third-party components, and make decisions, introducing risks from compromised dependencies and agents deviating from intended behavior. Protecting prompts, agent memory, retrieval context, and model weights requires strong isolation and verifiable trust.

Confidential computing enables customers to protect code and data from unauthorized access during processing. This session explores AWS's innovation on confidential computing capabilities including the AWS Nitro System, AWS Nitro Enclaves, and the Nitro Trusted Platform Module.

AWS is accelerating Web3 development across diverse use cases, including AI agents entering the digital economy, through core infrastructure, specialized offerings, and partner solutions.

Discover how industry leaders leverage AWS to build scalable, secure Web3 solutions. Explore the complete Web3 stack on AWS, from optimized compute to our robust infrastructure backbone.

Confidential computing enables customers to protect code and data from unauthorized access during processing. This session dives into how AWS delivers a combination of hardware- and software-based solutions to deliver confidential computing capabilities such as the AWS Nitro System, AWS Nitro Enclaves, and NitroTPM.

Join this chalk talk to learn how to architect a solution where multiple parties can securely share data, AI/ML models, and compute while preserving the privacy and confidentiality of both data and code.