Sovereign Intelligence: How AWS Enables Global Health Security Without Compromising Data Privacy

*Part 2 of 3: Democratizing Access to Genomic Data and Analytics*

When infectious diseases emerge, rapid pathogen identification and tracking saves lives. Yet for decades, this critical work has been hampered by a fundamental tension: the need to share genomic data across borders against the imperative to protect national data sovereignty and patient privacy.

Amazon Web Services (AWS) is helping resolve this tension through innovative platforms that enable global collaboration while keeping sensitive data secure. This is the next frontier in democratizing genomic data: making outbreak intelligence accessible to researchers and health practitioners across all countries, regardless of available technical infrastructure or economic resources.

In this post, we explore how AWS enables global pathogen surveillance and outbreak intelligence through sovereign-by-design platforms like PathGen, which allow countries to collaborate on infectious disease tracking while maintaining control over their sensitive health data within national borders.

The Global Challenge: Outbreak Detection in a Connected World

The COVID-19 pandemic starkly illustrated the power and limitations of global genomic surveillance. While rapid sequencing and data sharing enabled unprecedented scientific collaboration, many countries—particularly in low- and middle-income regions—lacked the infrastructure to participate fully. Others hesitated to share data due to sovereignty concerns or fear of travel restrictions.

The challenge is clear: how do we enable real-time global outbreak intelligence while respecting each nation’s right to control its own health data?

PathGen: AI-Powered Outbreak Intelligence with Data Sovereignty

The Asia Pathogen Genomics Initiative unveiled PathGen in December 2025—an AI-enabled integrated surveillance platform designed to support public health decision-making across 14 Asian countries. PathGen represents a breakthrough in sovereign-by-design health technology, combining pathogen surveillance data with contextual information needed to provide countries with timely, secure, and actionable decision support. Critically, all analysis occurs in-country, without raw data leaving national borders.

Technical Architecture: Sovereignty Meets Collaboration

PathGen’s architecture leverages Amazon Bedrock for secure access to large language models for AI-generated summaries and insights, ensuring sensitive health data remains encrypted and under the control of each country’s health ministry; and Amazon Elastic Compute Cloud (Amazon EC2) with GPU instances (P5 and G5) and Graviton 4 chips “for real-time genomic analysis and AI inference.

“This isn’t just about technology, it’s about trust,” said Professor Paul Pronyk, Director of the Duke-NUS Centre for Outbreak Preparedness. “When countries know their raw genomic data never leaves their borders, they’re more willing to participate in the collaborative surveillance that keeps us all safe. PathGen proves that data sovereignty and global health security aren’t competing values. They’re complementary goals that, with the right architecture, can strengthen each other.”

Technical Innovation: Making Genomic Surveillance Accessible

The success of platforms like PathGen and GISAID depends on democratizing access to key biomedical data resources, and making complex genomic analysis infrastructure and solutions accessible to public health officials who may not be bioinformatics experts.

The Wisconsin State Laboratory of Hygiene (WSLH) leveraged AWS resources to develop two solutions that address this problem:

Open-Source Solutions for Public Health Labs. Easy Genomics is an open-source solution designed specifically for public health laboratories, developed for WSLH using AWS Partner support. By providing pre-configured pipelines that run on AWS, the platform enables labs with limited bioinformatics expertise to conduct sophisticated analyses.

This is particularly important in resource-limited settings where hiring bioinformaticians may not be feasible. With Easy Genomics, someone without bioinformatics expertise can upload raw sequencing data and receive actionable results without needing to understand the underlying computational complexity.

Generative AI for Data Standardization. One of the biggest challenges in genomic surveillance is data standardization—different labs use different protocols, instruments, and file formats. WSLH wanted to leverage generative AI to accelerate that process. Students working with the Digital Transformation Hub (DxHub) at California Polytechnic State University (Cal Poly) built the open source AI Genomic Schema Harmonizer in partnership with AWS Cloud Innovation Centers (CIC).

By automatically detecting and correcting format inconsistencies, extracting relevant metadata, and flagging potential quality issues, the Harmonizer reduces the technical barriers to participation in global surveillance networks.

“The success of democratizing pathogen genomics depends on making complex data analysis and workflows accessible to public health officials who may not have a scientific computing background,” said Dr. Kelsey Florek of WSLH. “It’s about removing technical barriers so that every public health laboratory, regardless of resources, can participate in protecting their communities.”

Technology in Service of Humanity

The democratization of genomic data and analytics represents one of the most significant advances in improving health outcomes worldwide in recent decades. By making powerful computational tools accessible to researchers and public health officials worldwide, regardless of their location or resources, AWS helps level the playing field in the fight against disease.

At AWS, we believe our cloud and AI services are powerful tools to address the world’s urgent and complex challenges in health. Through continued innovation, strategic partnerships, and unwavering commitment to our customers’ missions, we’re working to build a future where genomic insights benefit all of humanity—not just the privileged few.

• Read the first blog in the series, Breaking Down Barriers: How AWS Democratizes Genomic Data for the World, which highlights how AWS services and support are empowering researchers to move faster, at scale, to achieve groundbreaking discoveries and transform healthcare delivery for everyone.
• Follow along for the third blog in the series, which highlights how biobanks are reshaping medical research.
• Learn more about AWS Skilling and Social Impact
• To learn more about AWS for Healthcare and Life Sciences, visit aws.amazon.com/health
• To explore how AWS can support your organization’s mission, contact your AWS account team or visit aws.amazon.com/contact-us