By using website you agree to our use of cookies as described in our cookie policy. Learn More


Concentric Addresses Data Security Threats with AI-based Data Access Governance Solution

Deep learning provides way to identify access and activity risks in unstructured data.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Concentric Inc., a San Jose CA-based vendor of AI-based solutions for protecting business-critical data, announced enhancements available in its Semantic Intelligence data access governance product. It is designed to address unstructured data security threats by autonomously identifying risk created by inappropriate access, sharing, and management of unstructured data.

Concentric’s Semantic Intelligence product offers Risk Distance analysis for autonomous assessment of file and activity-based risk. Risk Distance uses advanced deep learning technology -- a type of artificial intelligence (AI) -- to find at-risk data by comparing each file to its peers. These peer file comparisons give security professionals targeted and actionable guidance to secure their business-critical unstructured data without hard-to-maintain rules or complex configurations.

Recent data security incidents at a major bank and a drug manufacturer highlight how even large, well-funded organizations cannot fully secure their unstructured data. Protecting millions of disparate files stored across a sprawl of data storage options is a daunting task for IT professionals.

Offering more than 175 thematic data categories, Semantic Intelligence provides autonomous data categorization capability, which is the key to effective risk management. Offered as aSaaS platform, Semantic Intelligence needs no agents, upfront configuration or rules development.

“Prior to this launch, the industry had no way to find file-based and activity-based risk without writing complex rules or implementing cumbersome end-user classification programs,” said Karthik Krishnan, Concentric CEO. “Now, important progress in deep learning research -- commercialized by Concentric -- has created a third way. We’ve built the first comprehensive solution to the problem of access management for large bodies of unstructured data and apply zero trust protection.”

For details visit

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.