Concentric AI, a vendor of intelligent AI-based solutions for autonomous data security posture management, is listed as a “Sample Vendor” in the Data Security Posture Management category in the recent Gartner Hype Cycle for Data Security, 2022 report. Concentric AI also appears in the Data Access Governance and Data Discovery and Management categories in the Gartner Hype Cycle for Data Security, 2022 report.
According to the Hype Cycle for Data Security, 2022: “Data security posture management (DSPM) provides visibility as to where sensitive data is, who has access to that data, how it has been used and what the security posture of the data store or application is.” Organizations use DSPM as the basis for data risk assessment and to optimize data security governance implementations.
The new Data Security Posture Management category has a rating of “Transformational,” which Gartner defines as, “Enables new ways of doing business across industries that will result in major shifts in industry dynamics.”
According to Gartner, “Organizations face challenges mitigating data security and privacy risks as data rapidly proliferates across multi-cloud and hybrid IT architectures. Identifying meaningful data risk is impossible to solve without combining metrics from data sensitivity, data lineage, infrastructure configurations that create data risks and access risk into a common view. This is an urgent problem that is encouraging rapid growth in the availability and maturation of this technology.”
Concentric AI 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 learning solution autonomously and accurately finds sensitive content, assess risk, and remediates security issues, allowing organizations across industries to meet their data security needs for the first time.
Concentric AI’s trademarked 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, 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
