

Ohalo: Bringing order to chaotic data with next-generation data security

“Next-generation data security” brings order to chaotic data
Three points about Ohalo Data X-Ray

- You can't know where your confidential files are stored.

- File classification is done manually, so classification criteria are subjective and classification accuracy is insufficient.

- Because the number of files is so large, access permissions cannot be managed.

With the spread of cloud services, file storage locations have become more diverse, making management of confidential files more complicated.
For this reason, the concept of Data Security Posture Management (DSPM), which focuses on the data itself, is attracting attention.
Components of DSPM
DSPM consists of four steps: data discovery, classification, risk assessment, and leak detection/prevention.
Data classification, in particular, is an important element for accurate risk assessment and leak detection. In addition, it is said that approximately 90% of corporate data is unstructured, making automated classification essential for appropriate management of vast amounts of information.

Using generative AI technology to classify unstructured data with high accuracy
Ohalo Data X-Ray is a DSPM solution that centrally manages and visualizes the vast amount of unstructured data (Office files, text information, etc.) that exists within an organization. It scans unstructured data scattered in various environments, from on-premise file servers to various IaaS and SaaS, and "discovers" unknown data that security administrators are not aware of. In addition, by "classifying" using generative AI technology, it is possible to classify confidential files that are difficult to classify using regular expressions or machine learning, such as documents with unstandardized formats.
Easilyandaccuratelyclassify datawithout using complex regular expressions or dictionary data

Ohalo Data X-Ray Features: Data Discovery

Ohalo Data X-Ray Features: Label Integration (Smart Labels)
By combining the content of documents (invoices or contracts) determined using generative AI technology with the number of personal information items detected using regular expressions (as well as dictionaries and NLP), it is possible to label documents in accordance with the company's information classification policies and document handling regulations.

Seminar
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video on demand
Inquiry/Document request
In charge of Macnica Ohalo Co., Ltd.
- TEL:045-476-2010
- E-mail:ohalo-info@macnica.co.jp
Weekdays: 9:00-17:00