As cloud adoption skyrockets alongside the increase in the sheer amount of data organizations share, managing access to that data can be overwhelming. While collaboration and sharing have never been easier, carrying out data discovery and risk assessments is even more difficult.
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.
Unfortunately, sensitive data is often embedded in hard-to-find and hard-to-manage places like financial analysis spreadsheets or business forecast reports.
How can organizations find, assess, and control business-critical information to build effective information barriers between internal groups?
This is where data access governance comes into play.
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. Data access governance plays an essential role in ensuring that data is used appropriately and safeguarded from unauthorized access that is a significant driver of data loss.
According to Gartner, “Data Access Governance (DAG) solutions have now become critical as they provide data access assessment, management and real-time monitoring for the unstructured and semi-structured data…DAG solutions help to provide the right level of access for users/groups. DAG also helps customers migrate some of their data repositories from on-premises to the public cloud by classifying data and cleaning up permissions beforehand.”
Gartner®, “Hype Cycle for Data Security, 2021”, Brian Lowans, July 27, 2021.
The first step in the process is classifying that data, which involves comprehensive data discovery, categorization and risk assessment.
Second, DAG allows organizations to meet regulatory mandates for information barriers and access governance, and helps establish zero-trust data access controls to prevent customer data loss.
Then, remediating risk is the key component.
With robust data access governance, organizations should be able to answer these questions:
The primary benefit of data access governance is that it enables organizations to maintain data security by controlling and monitoring access to their data.
Here’s a closer look at the primary benefits of DAG:
Stronger regulatory compliance
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.
Better risk management
With robust data access governance, your IT and security teams can gain the confidence that goes along with knowing:
Better access to data
Strong data access governance enables users and employees to not only get access to more data, but access to more relevant data that explicitly applies to their role. With data access governance, this data democratization can actually have a positive impact on organizations.
Concentric is an easy-to-deploy SaaS security solution that provides organizations with agentless connectivity to a wide variety of data repositories so you can govern access to your data wherever it resides.
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. The solution can help enterprises 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.
Concentric’s advanced deep learning capabilities go beyond rules, pattern matching or folder-based controls to protect against careless sharing, compromised users, or insider threats.
Our solution improves data access governance across all your data stores by connecting to on-premises unstructured data storage, structured databases, and messaging and email applications. This means the solution can discover, categorize and monitor data wherever you’ve stored it.
Concentric Semantic Intelligence solution uses sophisticated machine learning technologies to autonomously scan and categorize data. The MIND™ deep learning- as-a-service capability means you will always have the latest AI models for fast, accurate discovery and categorization.
Risk Distance™ analysis comprehensively identifies inappropriate sharing, including link sharing, sharing with internal and third parties and sharing with personal email addresses.
Easy, autonomous remediation fixes access issues and reduces odds of a governance violation
Why not give us a try using your own data? Contact us today to see firsthand how data access governance can be easily deployed in your organization.
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