Mitsubishi UFJ Bank Integrates Private AI for Enhanced Data Security and Analytics

Mitsubishi UFJ Bank (MUFG), headquartered in Chiyoda, Tokyo, has recently made headlines by officially adopting a cutting-edge data anonymization solution from Private AI, a Canadian technology firm based in Toronto. This initiative is part of their extensive data processing infrastructure known as "OCEAN."

The integration of Private AI's technology allows MUFG to significantly harness previously challenging unstructured data types. This includes information from emails, call center recordings, internal documents, PDFs, and chat logs, which often contain sensitive personal identifiable information (PII) and other confidential data. With the new solution, MUFG can now automatically detect and anonymize this information with high precision before safely linking it to their OCEAN system. This marks a significant step towards enabling comprehensive analytical tasks across the company's data lake, as well as leveraging unstructured data for both generative AI and business AI applications, all while ensuring robust security measures are in place.

In recent years, financial institutions have placed increasing importance on advancing generative AI and data utilization. However, safeguarding personal information and maintaining data governance has simultaneously emerged as critical management challenges. The features of Private AI's solution stand out, primarily allowing real-time anonymization of personal data within on-premises and closed environments without needing to send any data to the cloud. This will help MUFG maintain strict governance over their OCEAN platform while they advance their generative AI initiatives and sophisticated data analysis capabilities.

Before the official adoption, the company conducted rigorous technical assessments using a variety of unstructured files that simulate actual business operations. This evaluation confirmed the high accuracy and resilience of the anonymization capabilities, even for highly sensitive categories of information relevant to banks, including names, addresses, phone numbers, account numbers, and insurance numbers.

With this adoption of Private AI’s solutions, MUFG plans to expand into several areas, including enhancing call center operations, improving fraud detection and risk management, and promoting the use of internal knowledge assets. Ultimately, they aim to construct a next-generation data infrastructure that balances safety and productivity at an advanced level.

About Private AI

Founded in 2019 by experts in privacy and machine learning, Private AI is a Toronto-based technology company specializing in the anonymization of personally identifiable information (PII). Using proprietary machine learning algorithms, Private AI can anonymize over 50 types of PII in more than 52 languages. As the volume of data circulating in businesses continues to grow, Private AI facilitates compliance with data protection laws such as GDPR by enabling real-time, comprehensive anonymization regulated processing, including personal identification codes. Having expanded into Japan in September 2023, they were also recognized as a Cool Vendor in Privacy by Gartner.

Company Name: Private AI Japan, Inc.
Head Office Location: Toronto, Canada
Japanese Office Location: 11th Floor, Tokyo Club Building, 3-2-6 Kasumigaseki, Chiyoda, Tokyo 100-0013
President: Genki Goto
Website: https://www.private-ai.com/

For inquiries from the press regarding this matter, please contact:
Private AI Japan, Inc. Public Relations Team
Web: https://www.private-ai.com/
E-mail: [email protected]