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NTT DATA and Fortanix enhance data security for AI era

Newsflash Asia

- October 15, 2025

NTT DATA and Fortanix have announced a global partnership to launch a Cryptography-as-a-Service offering, aimed at helping enterprises secure sensitive data against emerging AI threats and prepare for post-quantum cryptography challenges. The collaboration combines Fortanix’s Data Security Manager Platform with NTT DATA’s cybersecurity expertise to provide a comprehensive solution for data protection across AI, cloud, and hybrid environments.

The new service focuses on several key areas, including unified encryption and compliance, crypto-agility for quantum readiness, and data sovereignty and privacy. It offers centralised visibility and policy control, simplifying audits and regulatory requirements. The Fortanix platform, powered by Confidential Computing technology, ensures data is protected at rest, in motion, and in use, allowing enterprises to transition smoothly to quantum-resistant cryptography.

Cathy Huang, senior research director at IDC, emphasised the importance of preparing for the post-quantum era, stating that organisations must begin with cryptographic discovery and risk assessments. Sheetal Mehta, Head of Cybersecurity at NTT DATA, highlighted the pressure on enterprises to safeguard data whilst navigating AI opportunities and risks.

The partnership targets highly regulated industries such as financial services, healthcare, government, and telecommunications. Key use cases include multicloud key management, post-quantum readiness, and secure AI and machine learning processes.

Anand Kashyap, CEO of Fortanix, noted that the partnership empowers enterprises to manage cryptographic risks proactively, leveraging industry-leading Confidential Computing technology. This collaboration aims to future-proof data security strategies and ensure business continuity as organisations transition to quantum-safe standards.

This story was selected and published by a human editor, with content adapted from original press material using AI tools. Spot an error? Report it here.

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