Security News > 2020 > January > AI-based Document Classification Firm Concentric Emerges From Stealth

AI-based Document Classification Firm Concentric Emerges From Stealth
2020-01-30 17:59

Unstructured documents - especially those that have been given wrong or no sensitivity classification - are among the most difficult assets for any enterprise to track and secure.

In a separate report published January 29, 2020, Concentric provides the result of analyzing 26 million unstructured documents from companies in the technology, financial and healthcare sectors.

Manual classification of this volume of documents requires extensive staff training and is prone to error.

He continued, "Deep learning has progressed to the point where it can both solve problems at scale and do it with a degree of precision. What we have built is a system that uses a deep learning language model to develop a semantic level of understanding of the context. We can look at both the words and how they are used within the broader context of a document to understand the meaning. This allows us, in a completely unsupervised manner, to build thematic groups, putting contracts, design documents, NDAs into their own groups."

Semantic Intelligence uncovers, categorizes and classifies the documents, and allows IT and security teams to monitor data security with timely information and risk visualizations that drill down into the at-risk documents.


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