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Discover how Amazon Q transforms Java applications to Rust, streamlining weeks of manual refactoring into hours with automated code analysis, transformation, and testing demonstrations.
Master secure AI agent authentication and authorization using Amazon Cognito and Verified Permissions with real-world code examples from AWS re:Inforce 2025.
Discover AWS security innovations and best practices for building resilient applications at scale, featuring new launches and enterprise case studies from AWS re:Inforce 2025.
Discover how to democratize AI with Amazon SageMaker Canvas, enabling teams to build machine learning models without coding expertise through practical demonstrations.
Discover how to build robust data foundations for successful Generative AI implementations, addressing quality barriers and improving production conversion rates.
Discover how to streamline security operations by routing, filtering, and transforming security data at the edge before sending it to Amazon Security Lake for optimized cloud security.
Master automated compliance workflows using AWS tools to meet digital sovereignty requirements while maintaining data location control and regulatory adherence.
Discover Fannie Mae's cloud-native PKI transformation on AWS, covering migration strategies, compliance challenges, and achieving 100% adoption with reduced overhead.
Discover how to combine automated reasoning with generative AI to build reliable, verifiable applications that maintain creativity while ensuring logically correct, hallucination-free outputs.
Discover AWS's engineering innovations and operational practices from two decades of resilience investment to build critical infrastructure that powers global economies.
Discover how AWS builds end-to-end security to handle heavy lifting for customers, enabling faster innovation and confident cloud operations across organizations of all sizes.
Discover how AWS leverages global threat intelligence to deliver automated security responses and real-time protection, processing vast security data to safeguard cloud assets.
Discover how AWS removes AI security complexity, enabling rapid development-to-production deployment with proven foundations, flexible controls, and automated reasoning for confident innovation.
Uncover cloud security insights through comprehensive data analysis of infrastructure misconfigurations, GenAI risks, and data exposure patterns in modern DevOps workflows.
Discover how to build comprehensive GenAI governance frameworks using AWS controls like VPC, IAM, and KMS, plus automated validation through Config rules and CloudTrail monitoring.
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