Latest Industry Data Risk Report from Concentric Shows 450 Percent Increase in Oversharing of Sensitive Documents Over the Past Year

New Data Risk Report Quantifies Ongoing Impact of Pandemic and Work from Home on Data Oversharing and Security after Analyzing 110 Million Scanned Files

SAN JOSE, Calif.–(BUSINESS WIRE)–#AI–Concentric Inc., a leading vendor of intelligent AI-based solutions for protecting business-critical data, today announced the availability of its Q1 2021 quarterly Data Risk Report, which highlights a continued rise in oversharing of business-critical and sensitive documents. The report revealed the number of overshared files rose 450 percent compared to the same quarter in 2020, highlighting the significant impact of the pandemic and remote work on data security.

Using its Semantic Intelligence™ solution, Concentric captured user data in production deployments from companies in the technology, financial, and healthcare sectors to reveal how organizations create, use, and manage data. The company scanned more than 110 million unstructured data files to discover business-critical and sensitive documents that are overshared via link sharing, inappropriate external sharing, internal permission misconfigurations, and incomplete/incorrect document classifications. Oversharing increases the risk an organization will lose data, violate compliance or privacy mandates, or experience cybercrime.

Statistics highlighted in this latest Data Risk Report reveal that organizations average 439,000 files at-risk due to oversharing. That translates to 210 at-risk files per employee (up significantly from 38 files per employee in Q1 2020, a 452-percent increase). Link-based risky sharing is up to 65,000 documents per enterprise, up from 56,000 in Q4 2020 (the company started tracking link sharing risks in Q3 2020).

Concentric is the first company to identify and quantify risk in both structured and unstructured data using deep learning. Its solution autonomously provides an accurate and detailed semantic understanding of the millions of contracts, financial documents, payroll, M&A plans, product roadmaps and source code files used by organizations every day. Similar to previous Data Risk Reports, this new report analyzed production data and reflects actual user practices and real-world data risk exposures. Additional statistics in the Q1 2021 report include:

  • Nearly 35 percent of unstructured data is business-critical – that’s 3.1 million files in an average organization. Of those business-critical files, 14 percent can be seen by internal or external users who should not have access.
  • 229,000 business-critical files were erroneously classified and inappropriately accessible by other employees. To illustrate, nearly 23 percent of all unstructured data contained PII and were not marked appropriately.
  • More than 33 percent of files processed were duplicates (15 percent) or near-duplicates (20 percent). Maintaining multiple variant copies of sensitive information (often with insecure file permissions, prohibited locations, or improper file classifications) can create legal and regulatory risks, as well as significant unnecessary storage costs.
  • 85 percent of at-risk files were overshared with users or groups within the company, while 15 percent of business-critical files were overshared with external third parties.

“More than 80 percent of an organization’s data is unstructured, meaning it’s embedded in the millions of financial reports, corporate strategy documents, source code files, and contracts created every year,” said Karthik Krishnan, Concentric CEO. “As our quarterly Data Risk Reports continue to show, unstructured data is still largely unseen, unexplored and insecure, and too often overshared inside and outside organizations. This educational report for the industry demonstrates the power of Concentric’s advanced deep-learning technology to solve the ongoing challenges of unstructured and structured data security – both in the cloud and on-premises. Our Semantic Intelligence solution autonomously delivers the data risk insights enterprises need to help employees work productively – remotely or in the office – without sacrificing security.”

Concentric’s Risk Distance™ analysis evaluates business criticality based on contextualized content, file ownership, document meta-data, presence of personally identifiable information (PII), and peer file comparisons. Business criticality is vital to security assessment and understanding which files must not be overshared. Product files accounted for the leading share of business-critical documents (44 percent) analyzed for this report, followed by financial files (27 percent), legal files (13 percent), and partner documents (10 percent).

To compile the report, Concentric leveraged its Semantic Intelligence solution to autonomously categorize and assess documents created and managed by end users. The result is the industry’s most complete, detailed and accurate view into how risks associated with oversharing are changing over time. The full report is available from Concentric free of charge at

Concentric’s Semantic Intelligence™ automates unstructured and structured data security using deep learning to categorize data, uncover business criticality and reduce risk. Its Risk Distance™ analysis technology uses the baseline security practices observed for each data category to spot security anomalies in individual files. It compares documents with peers in the same category to identify risk from oversharing, third party access, and wrong location or misclassification. Organizations benefit from the expertise of content owners without intrusive classification mandates, with no rules, regex or policy maintenance needed.

About Concentric

With Concentric, organizations can finally address their unmet data security needs by discovering and protecting business critical content. Concentric protects intellectual property, financial documents, PII/PCI content, customer data, business confidential data and more, across on-premises and cloud-based data stores. The Concentric Semantic Intelligence™ Data Access Governance solution uses deep learning and Risk Distance™ analysis to accurately categorize data, assess risk and remediate security issues – without relying on upfront rules or complex configuration. Concentric is venture backed by leading Silicon Valley VCs and is headquartered in San Jose, Calif. For more information, see

Concentric, Semantic Intelligence™ and Risk Distance™ are or may be registered trademarks of Concentric AI, Inc. All other marks and names mentioned herein may be trademarks of their respective companies.


Dan Spalding
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