Data Access Governance

Autonomous Data Access Governance

Autonomously enforce data access and activity governance to meet compliance and security mandates.

"Concentric AI helps simplify data security and governance around our Box and Windows file shares with less than half a person on my team. The level of autonomy around data discovery, risk monitoring and loss prevention is nothing short of magic."

F1000 Healthcare

Why Data Access Governance and the challenge for organizations

The Challenge

With massive growth in data and cloud migration, collaboration and sharing have never been easier. On the other hand, data discovery and risk assessment are becoming even more difficult. 

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Controlling information flows between departments and third parties is essential to meet regulatory mandates and protect sensitive data from disclosure or a data breach.

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All organizations, especially regulated enterprises, have obligations to strictly control employee access to private, sensitive data. Many other corporate activities – such as mergers and acquisitions – also need robust internal information barriers. 

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Unfortunately, sensitive data is often embedded in hard-to-find and hard-to-manage places like financial analysis spreadsheets or business forecast reports. 


Data access governance (DAG) is the process of defining and enforcing policies for how data is accessed and used. It includes defining roles and responsibilities for those who have access to data, setting up processes for granting and revoking access, and auditing data access. 

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Data access governance may also include risk assessments, privacy policy implementation, deploying access controls, discovering and classifying sensitive data, and monitoring access to critical assets. 

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With robust data access governance, organizations should be able to answer these questions:
  • Where is my business-critical content?
  • Is my sensitive data being shared only with those who are authorized to see it?
  • Has data been shared or accessed inappropriately?

Benefits Overview

Autonomous, semantic-based data discovery

Stronger regulatory compliance and access governance

Improve security and compliance while limiting risk of regulatory fines

Automated data risk identification and remediation

Discover and remediate risk without writing a single rule

Know how your data is being used, where it’s located and whether it’s at risk

Effortless implementation

Maintain better access controls while minimizing data loss

Enable employees with access to relevant data that explicitly applies to their role

Stronger regulatory compliance and access governance

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. 

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.  

Discover and remediate risk without writing a single rule

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.

Maintain better access to data while minimizing data loss

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. 

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.


Yes, our solution connects to on-premises unstructured data storage, structured databases, messaging and email applications. That means Concentric can discover, categorize and monitor data wherever you’ve stored it.

The solution uses sophisticated machine learning technologies to autonomously scan and categorize documents. The MIND™ deep learning- as-a-service functionality means you will always have the latest AI models for fast, accurate discovery and categorization.

  • Establish zero-trust data access controls
  • Gain comprehensive data discovery, categorization and risk assessment
  • Discover and remediate risk without writing a single rule
  • Meet regulatory mandates for information barriers and access governance
  • Avoid customer data loss

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