日本語 
Mitsui & Co. Secure Direction Co., Ltd. will begin offering a “Data Security (DSPM) Implementation Support Service” on April 1st, which utilizes generative AI to enable inventory, visualization, and classification of data scattered throughout a company. This service utilizes “Data X-Ray,” a DSPM solution from Ohalo Ltd., which possesses data classification technology utilizing generative AI, to comprehensively support the process from analyzing the customer’s current situation and assisting in the formulation of regulations to inventorying, visualizing, and classifying the data held by the customer.
Furthermore, by automatically linking the classification results of confidential data identified by this service with Microsoft Purview, and combining it with MBSD’s separately provided “Microsoft Purview Utilization Service,” it is possible to smoothly connect to a “seamless integration from data-driven detection to response,” such as alert monitoring and incident response for confidential data.
Macnica, Inc., the sole distributor of Ohalo in Japan, will be responsible for the implementation design and post-implementation technical support of “Data X-Ray,” and will provide end-to-end implementation and operation support in collaboration with MBSD, including the design and configuration of integration with Microsoft Purview.
Also Read: RescueNow Tackles Crisis Chaos with New Platform
Data management risks are increasing due to DX and cloud shift.
With the increasing use of SaaS, including cloud storage, confidential corporate data is now dispersed across various locations, from on-premises file servers to the cloud. In particular, unstructured data (such as Office files and text information), which is said to account for about 90% of corporate data, is easy to create and copy, but it creates the challenge of not being able to accurately grasp “where and what kind of confidential information is located within the company.”
Against this backdrop, the concept of DSPM (Data Security Posture Management), which focuses on the data itself to assess risk, is attracting attention. However, the biggest bottleneck in its implementation has been data classification (data classification and labeling), which involves accurately identifying vast amounts of data.
SOURCE: PRTimes
English