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EAGLYS, Mitsui, and Quantinuum Collaborate to Build Quantum-Resistant Data Analytics AI Platform, Enhancing Data Security with Quantum-Derived Encryption Keys

Quantinuum / HPE Japan
Overview
EAGLYS, Mitsui & Co., Ltd., and Quantinuum have announced a collaboration to develop a quantum-resistant data analytics and AI platform. The “DataArmor” platform will integrate fully homomorphic encryption based on lattice cryptography with Quantinuum’s Quantum Origin, which utilizes quantum-derived true randomness for encryption key generation. This partnership aims to significantly enhance data protection against quantum computing attacks, enabling secure sharing of data and AI models to accelerate innovation across various industries.
In Depth

Key Findings

Japanese companies EAGLYS and Mitsui & Co., Ltd., alongside the US-UK quantum computing firm Quantinuum, have announced a joint effort to build a quantum-resistant data analytics and AI platform. This collaboration is highly significant for ensuring next-generation cybersecurity and facilitating the secure utilization of sensitive data across diverse industries, mitigating the threat posed by quantum computer attacks.

Technical / Clinical Details

  • DataArmor Platform: Central to this joint development is EAGLYS’s “DataArmor” platform. DataArmor is built upon Fully Homomorphic Encryption (FHE) technology, enabling the execution of analytics and AI processing on encrypted data without decryption. This significantly reduces the risk of original information exposure when data is processed by third parties or in cloud environments.
  • Lattice-based FHE: The FHE employed in DataArmor is based on lattice cryptography, a leading candidate for Post-Quantum Cryptography (PQC). Unlike current classical encryption algorithms that are vulnerable to quantum attacks, lattice cryptography derives its robustness from mathematical problems believed to be intractable even for quantum computers.
  • Key Hardening with Quantum Origin: Quantinuum’s “Quantum Origin” technology supplies true random numbers, derived from quantum computers, to the platform’s encryption key generation process. Unlike classical random number generators, quantum random numbers offer the ultimate level of unpredictability, drastically enhancing the strength of cryptographic keys and providing extremely high resilience against future quantum computing decryption risks.

Background & Context

Advances in quantum computing pose a potentially devastating threat to current public-key cryptographic systems, necessitating a global “crypto-reset” or large-scale migration. Industries handling highly sensitive data, such as finance, healthcare, and defense, face an urgent challenge to protect their information from these quantum threats. FHE, which allows for data processing while remaining encrypted, is a highly anticipated technology for balancing privacy protection with data utilization. Imbuing FHE with quantum resistance further amplifies its value. This collaboration, spanning Japan, the U.S., and Europe, holds significant implications for accelerating global PQC adoption.

Strategic Significance & Outlook

The development of this quantum-resistant data analytics AI platform means that companies can securely share and analyze highly sensitive information and AI models without fear of future quantum computing attacks. This will accelerate cross-industry innovation and significantly contribute to the development of data-driven business models. Looking ahead, the broader adoption of PQC technologies and the response to new security challenges posed by quantum computing are expected to be major trends in the cybersecurity industry.

Source: https://www.quantinuum.com/press-releases/eaglys-mitsui-and-quantinuum-collaborate-to-build-a-quantum-resistant-data-analytics-ai-platform-using-quantum-computing-hardened-encryption-keys

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