Hitachi, Ltd. announced that it will expand its work with OpenAI to accelerate AI-driven modernization and cybersecurity. The work combines OpenAI?s frontier AI technology with Hitachi?s domain expertise and know-how in supporting mission-critical systems and social infrastructure to accelerate AI transformation (AX) for customers and society. Working together, the two companies?

FDE teams will leverage OpenAI?s AI agent ?Codex? to analyze the source code of mission-critical legacy systems and work to establish an AI-driven modernization approach that supports safe migration through enhanced visibility into system design. Based on this approach, Hitachi aims to develop solutions to support the modernization of core systems and to roll them out sequentially across a wide range of industries, starting with financial institutions.

Hitachi also plans to gain access to OpenAI?s AI models for cybersecurity through OpenAI?s ?Trusted Access for Cyber (TAC)?. As part of OpenAI?s Japan Cyber Action Plan, this initiative aims to responsibly provide advanced AI capabilities to trusted defenders and help strengthen cyber resilience in Japan?s critical sectors. Under OpenAI?s Daybreak-based, defense-focused framework, Hitachi will explore the use of these models for legitimate defensive purposes, such as remediation and validation, with appropriate safeguards, governance, and human oversight.

Through this initiative, Hitachi?s Cyber CoE, its cybersecurity expert organization, will act as ?Customer Zero,? practicing these efforts internally to validate Hitachi-provided systems and applying the insights gained to further strengthen cybersecurity. Hitachi will apply the insights gained through these initiatives to enhance its FDE capabilities in modernization and cybersecurity, while further enhancing HMAX by Hitachi (?HMAX?), its next-generation AI solution suite for social infrastructure.

Through these initiatives, Hitachi will support customers in building and operating resilient systems and help advance AX in social infrastructure.