NIST Quantum Crypto: CryptoNext Security First in EU

CryptoNext Security has become the first European Union company to achieve full National Institute of Standards and Technology (NIST) Quantum-Safe certification, a milestone in the development of defenses against future quantum computer attacks. The certification validates CryptoNext Security’s implementation of all three standardized post-quantum cryptographic algorithms, ensuring a new level of security for data protection. This achievement centers on the company’s integration of these algorithms into ProvenRun’s ProvenHSM hardware security module, creating a crypto-agile system designed to withstand the evolving threat of quantum computing. According to a press release, the integration delivers “a crypto-agile, high-assurance hardware security module built for the quantum era.” The certification underscores CryptoNext Security’s commitment to proactively addressing the long-term risks posed by increasingly powerful computing technologies.

Post-Quantum Integration Enhances ProvenHSM Security Module

A hardware security module now incorporates defenses against potential attacks from future quantum computers, representing a significant step toward long-term data protection. This collaboration delivers a crypto-agile solution, allowing for seamless updates to cryptographic algorithms as new standards and threats arise, and ensuring sustained security beyond the capabilities of current encryption methods. ProvenRun’s ProvenHSM is intended to provide a secure foundation for sensitive data and operations, safeguarding against both conventional and future quantum-enabled attacks. The alliance between CryptoNext Security and ProvenRun demonstrates a commitment to anticipating and mitigating future cybersecurity risks, and the resulting module offers a robust defense against increasingly sophisticated threats. By embedding post-quantum cryptography directly into the hardware, the companies aim to provide a more resilient and long-lasting security solution for critical infrastructure and data protection applications, ensuring continued confidentiality and integrity in the quantum era.

NIST CAVP Certification Validates CryptoNext Quantum-Safe Algorithms

This validation extends beyond software implementations, encompassing the practical application of these algorithms within hardware security modules, a critical step toward securing sensitive data in a future where quantum attacks are feasible. The company states that this certification demonstrates their implementation of all three algorithms, CRYSTALS-Kyber, CRYSTALS-Dilithium, and Falcon, meets rigorous NIST standards for correctness and security. The significance of this achievement lies in the comprehensive nature of the validation, which assesses not only the algorithms themselves but also their integration into a physical hardware environment, specifically ProvenRun’s ProvenHSM. This certification process involved submitting CryptoNext Security’s implementations to NIST for testing, confirming they adhere to the specifications outlined in the post-quantum cryptography standardization process. This milestone positions both CryptoNext Security and ProvenRun as key players in the emerging field of quantum-safe cryptography, offering organizations a pathway to upgrade their security infrastructure before widespread quantum computing capabilities emerge. The companies’ strengthened alliance, demonstrated by this integration, aims to deliver a crypto-agile hardware security module capable of adapting to evolving cryptographic standards and protecting data well into the future.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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