Announced details
Differential privacy, data anonymization, privacy-preserving data analysis, secret sharing technology, secure computation technology, output privacy, and PETs-related technologies
The range of technical approaches that balance security and practicality, as well as their accuracy, has expanded significantly. Numerical data: Not disclosed.
Many companies use ZENMU Engine, ZENMU Virtual Drive, and other products. The specific number of users is Not disclosed.
ZenmuTech has previously received academic and technical support from Takao Murakami (村上隆夫) regarding output privacy and has now invited him to serve as an advisor to the company.
Associate Professor in the Department of Interdisciplinary Statistical Mathematics at the Institute of Statistical Mathematics, Research Organization of Information and Systems. Murakami specializes in differential privacy, data anonymization, and privacy-preserving data analysis. He completed the doctoral program at the Graduate School of Information Science and Technology, The University of Tokyo, and holds a Ph.D. in Information Science and Technology. He worked as a researcher at Hitachi, Ltd. and as a researcher and senior researcher at the National Institute of Advanced Industrial Science and Technology before assuming his current position in 2023. He was a visiting researcher at the University of California, San Diego, in 2020 and received the Funai Academic Award in 2020.
Funai Academic Award (2020)
5th Floor, Ichigo Shinkawa Building, 2-22-1 Shinkawa, Chuo-ku, Tokyo
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
| Item | Details |
|---|---|
| Names of Products / Services Covered | ZENMU Engine, ZENMU Virtual Drive, QueryAhead®, Secret sharing technology, Secure computation technology, Output privacy technology |
| Counterparty | Takao Murakami (村上隆夫), Associate Professor, Department of Interdisciplinary Statistical Mathematics, Institute of Statistical Mathematics |
| Counterparty overview | Associate Professor in the Department of Interdisciplinary Statistical Mathematics at the Institute of Statistical Mathematics, Research Organization of Information and Systems. Murakami specializes in differential privacy, data anonymization, and privacy-preserving data analysis. He completed the doctoral program at the Graduate School of Information Science and Technology, The University of Tokyo, and holds a Ph.D. in Information Science and Technology. He worked as a researcher at Hitachi, Ltd. and as a researcher and senior researcher at the National Institute of Advanced Industrial Science and Technology before assuming his current position in 2023. He was a visiting researcher at the University of California, San Diego, in 2020 and received the Funai Academic Award in 2020. |
| Relationship with the Company | ZenmuTech has previously received academic and technical support from Takao Murakami (村上隆夫) regarding output privacy and has now invited him to serve as an advisor to the company. |
| Launch date | 1 July 2026 (appointment as advisor announced; included as an appointment record) |
| Applicable area | Differential privacy, data anonymization, privacy-preserving data analysis, secret sharing technology, secure computation technology, output privacy, and PETs-related technologies |
| Award/certification name | Funai Academic Award (2020) |
| Location | 5th Floor, Ichigo Shinkawa Building, 2-22-1 Shinkawa, Chuo-ku, Tokyo |
| Quantitative Effects | The range of technical approaches that balance security and practicality, as well as their accuracy, has expanded significantly. Numerical data: Not disclosed. |
| Usage history | Many companies use ZENMU Engine, ZENMU Virtual Drive, and other products. The specific number of users is Not disclosed. |
Items this document does not state (8)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.To strengthen the research and development structure in the privacy-enhancing technologies (PETs) field and further enhance the company’s competitive advantage based on secret sharing and secure computation technologies.