Concentric Inc., a vendor of intelligent AI-based solutions for protecting business-critical data, has been listed as a “Sample Vendor” in the newly created Data Discovery and Management category in three recent Gartner Hype Cycle Reports: Hype Cycle for Security Operations, 2022; Hype Cycle for Storage and Data Protection Technologies, 2022; and Hype Cycle for Data Management, 2022.
According to the Hype Cycle for Security Operations, 2022; Hype Cycle for Storage and Data Protection Technologies, 2022; and Hype Cycle for Data Management, 2022: “Data Discovery and Management software (DDM) discovers, analyzes, indexes, searches, tracks and reports on multiple unstructured and structured data sources.”
Characterizing the benefits of DDM software, the reports add, “DDM solutions reduce business risk by locating, protecting, eliminating and quarantining sensitive data, and identifying access permission issues.”
Gartner advises users to, “Use DDM software to better grasp the risks of structured and unstructured data footprints, including where it resides and who has access to it, and to expose another rich dataset for driving business decisions.”
Concentric secures data-centric work using AI to protect business-critical information hidden in the millions of files and databases used by today’s distributed workforce. The company’s unique deep learning solution autonomously and accurately finds sensitive content, assesses risk, and remediates security issues, allowing organizations across industries to meet their data security needs for the first time.
“We believe being recognized by Gartner as a Sample Vendor in these reports validates the need for organizations to mitigate business risks by accurately identifying and categorizing structured and unstructured data,” said Karthik Krishnan, Founder and CEO, Concentric AI. “Organizations using Concentric benefit from the company’s AI-assisted deep learning autonomous data security solution to discover, evaluate, and remediate security issues.”
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 of the same type 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.
For more information, see https://www.concentric.ai.
