Essentially, data fabric is an approach to managing and integrating data, aimed at enabling access to information across the enterprise in a versatile, iterable, and augmented way.
The data fabric concept can translate into an architecture that creates an end-to-end integration of various data pipelines, including data from cloud environments.
Thus, a data fabric architecture exists when there is comprehensive consolidation of all data in an organization, which ensures efficient but secure access to data.
Organizations benefit from data fabric architecture because it is designed to be open for a wide range of integration.
Under this concept, cybersecurity and data fabric merge to create a data protection solution that provides comprehensive coverage, capable of protecting all types of data, regardless of the source.
A data security fabric ensures that information is protected in view not only of the changing threat landscape but also with respect to the new realities of IT deployments at present.
The different implementations can then be expanded to consolidate all data security controls harmoniously.
Data fabric architecture is also a boon to security governance because of the enhanced controls it enables.
A focus on data security fabric makes it easier to protect data across different platforms or environments, including hybrid setups and on-premise storage.
In a way, they provide a framework for security standardization across different environments while providing the ability to centrally manage data assets.
Integration is a key benefit of the data fabric architecture, and this significantly bolsters security governance by bringing together different data ecosystems to make them easier to manage.
By integrating existing security and data ecosystems, organizations can correlate security information to aid the detection of anomalous activities, privilege escalation attempts, data exfiltration attacks, and other security issues.
Data fabric security is compatible with security automation.
Data fabric security solutions are designed to ensure uninterrupted threat activity analysis while taking away the need for inefficient and costly manual actions.
Data fabric architecture is designed to help enterprises ensure compliance with regulations on data handling and security.
Organizations that adopt this architecture will automatically follow a data management approach that emphasizes centralized management, extensive security visibility, security policy enforcement, granular access control, and auditability.
These attributes conform with the foundational goals of almost all data privacy and security regulations, which require organizations to ensure that they have full oversight over their data, the ability to implement all applicable security policies, and the means for efficient data forensics in cases of data breaches.
Compliance serves as a good first line of defense, especially for organizations with little experience and proficiency in data security.
Data fabric security does not automatically mean compliance with all data regulations, though.
The data fabric architecture indubitably augments security governance as enterprises deal with ever-increasing data infrastructure components, data ecosystems, and regulations.
This Cyber News was published on www.cybersecurity-insiders.com. Publication date: Thu, 09 May 2024 15:13:05 +0000