A new press release states, “Concentric today announced the availability of a new approach to the most significant security challenge facing the enterprise today – business-critical unstructured data, stored on-premises or in the cloud, that is impossible to identify and protect manually. Enterprise customers using Concentric have already found millions of unprotected or inappropriately shared documents accessible by thousands of employees, which could have led to data breaches and costly fines. To combat this significant threat, Concentric is the first company to leverage deep learning capabilities to identify and autonomously quantify risk by developing an accurate and detailed semantic understanding of all data. The company uses these insights to efficiently and effectively protect business-critical data and meet security, compliance and privacy mandates.”

The release goes on, “The fact is, today’s organizations lack insight into risks associated with business-critical information like contracts, financial documents, payroll, M&A plans, product roadmaps and source code, to name a few. A report published today by the company, based on live data analyzed by Concentric’s Semantic Intelligence™ solution, reveals the composition and risks found in a typical organization’s unstructured data: An average business has nearly 10 million documents, with 1.2 million documents deemed business critical. Of those business-critical documents, over 15% are at risk because of improper sharing with users and groups or inadequate/incorrect data classification. On average, non-C-Suite employees had access to 90% of business-critical documents. Of these business-critical documents, approximately 200,000 files in an enterprise are overshared (translating to around 40 files per employee).”

Read more at Business Wire.

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