Preparing today for a post-quantum cryptographic future

Amazon is helping develop standards for post-quantum cryptography and deploying promising technologies for customers to experiment with.

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Post-quantum cryptography aims to develop new standards for public-key cryptography that quantum computers can't crack.

Recently, the National Institute of Standards and Technology (NIST) completed the third round of its post-quantum-cryptography standardization process. It is still early days for quantum computing, but the technology holds great promise for benefiting society with a deeper understanding of fundamental physics and faster solutions to difficult computational problems. Like many powerful new technologies, it is also subject to unintended consequences, and some have speculated that if a large enough quantum computer were built in the future, it could break the public-key cryptographic algorithms used to protect our data today.

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For some time, NIST, Amazon, and the broader scientific community have been working on new public-key algorithms that can withstand the post-quantum future. Historically, it takes about 20 years to replace dependencies on widely deployed high-assurance cryptographic algorithms. At Amazon, we know the value of long-term thinking, and we routinely make big long-term investments in availability and security based upon our belief about where the world is going.

For example, several years ago we made the decision to invest in designing our own chips, at significant cost and effort, which had the effect of giving AWS customers meaningfully improved security and performance, while also giving users of Alexa snappier responses to their questions. Post-quantum cryptography is another example of an area where we are investing for our customers’ future.

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Amazon contributed to the proposal for SPHINCS+, a cryptographic-signature scheme that involves hash functions, one-time signatures (OTS), and few-time signatures (FTS). Figure adapted from "The SPHINCS+ signature framework".

As part of its most recent findings, NIST announced that it had selected a finalist for a key establishment algorithm (Crystals Kyber) and three finalists for digital-signature algorithms — including SPHINCS+, to which Amazon contributed. This paves the way for the forthcoming standardization of these technologies.

NIST also indicated that it would evaluate additional algorithms for key establishment in its fourth round, including SIKE and BIKE, which Amazon team members contributed to. Amazon is also involved with industry peers in projects and standardization efforts like the ETSI QSC Technical Committee, the IETF, the Open Quantum Safe initiative, and NIST NCCoE PQ Migration, which is taking important steps toward broad adoption of post-quantum cryptography.

Post-quantum crypto on AWS

As the newer approaches make their way through the standards process, Amazon is also evolving AWS to give customers the option of evaluating post-quantum algorithms alongside traditional algorithms, so we can optimize the performance of these algorithms on AWS. We have already contributed to a draft standard on post-quantum hybrid key exchange and implemented and deployed that community-developed specification in s2n-tls, which implements the Transport Layer Security (TLS) protocol across AWS.

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We have also deployed post-quantum s2n-tls with AWS Key Management Service (KMS) and AWS Certificate Manager (ACM)and AWS Secrets Manager TLS endpoints — bringing the benefits of post-quantum cryptography to customers who enable hybrid post-quantum TLS in their AWS SDK to connect to those services. All told, we are working toward our goal of providing customers post-quantum technologies in multiple AWS services by 2024, so our customers can experiment with them and prepare for a post-quantum future.

The security of our customers’ data is job zero at Amazon. To us this means anticipating what the future might hold and preparing our customers for potentially disruptive technologies. As we look forward to the huge potential breakthroughs heralded by quantum computing, our customers can also rest assured that we are peering around corners on their behalf and preparing to keep their data safe for as long as they need it.

You can read more about our research and standardization work in the links below:

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Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As a Senior Applied Scientist on our team, you will focus on building state-of-the-art ML models for healthcare. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. This role offers a unique opportunity to work on projects that could fundamentally transform healthcare outcomes. Key job responsibilities In this role, you will: • Design and implement novel AI/ML solutions for complex healthcare challenges • Drive advancements in machine learning and data science • Balance theoretical knowledge with practical implementation • Work closely with customers and partners to understand their requirements • Navigate ambiguity and create clarity in early-stage product development • Collaborate with cross-functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions • Establish best practices for ML experimentation, evaluation, development and deployment • Partner with leadership to define roadmap and strategic initiatives You’ll need a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. You’ll also need to effectively translate research findings into practical solutions. A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the Special Projects organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. About the team We represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.
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