Autonomously enforce data access and activity governance to meet compliance and security mandates.
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The Challenge
Benefits Overview
As the remote and hybrid work model continues to dominate how employees work and promote more data-driven operations, compliance regulations become more crucial. With data access governance, organizations can improve security and compliance while limiting their risk of regulatory fines.Â
Concentric’s powerful deep learning technology improves data access and activity governance by giving you an unparalleled contextual understanding of your structured and unstructured data. Our solution helps remediate data vulnerability issues, meet access and activity governance regulations, demonstrate control to auditors, and implement zero–trust access practices – all without complex rules or relying on end-users. Â
Sensitive data is often embedded in hard-to-find and hard-to-manage places like financial analysis spreadsheets or business forecast reports.
Organizations must find, assess, and control business-critical information to build effective information barriers between internal groups. Our rule-free Risk Distance analysis engine comprehensively identifies data that may be at risk from inappropriate classification, permissions, entitlements and sharing — including link sharing, sharing with third parties, personal email addresses, or risky sharing within your company.
Skyrocketing cloud migration, more employees working from home (WFH), and corporate Bring Your Own device (BYOD) initiatives are all contributing to more data to manage than ever before. Managing this access presents a significant hurdle, as they must be diligent about protecting these streams of information.Â
Concentric helps you meet access and activity governance regulations, demonstrate control to auditors and implement zero–trust access practices. Plus, our solution’s easy, autonomous remediation fixes access issues and reduces odds of data loss or governance violation.
Mark Stone • January 21, 2025
Mark Stone • January 16, 2025
Mark Stone • January 16, 2025