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Data-Centric Security
Stay ahead with digitization, collaboration, and innovation
Data-Centric Security (DCS)Â is an approach that focuses on safeguarding data itself rather than securing the infrastructure or network where it resides. This means protecting data throughout its lifecycle, at its source where it is stored, in the applications where it is used, and on the move when it is shared.Â
Data-centric Security (DCS) for the Extended Enterprise
Discover four key organizational shifts for data-centric security (DCS) and understand their importance for IT leaders, security professionals, and compliance officers
Data Access Enforcer for Windows
Explore how to implement consistent data security policies across diverse Windows-based applications without the need for substantial investment in custom code
A data-centric security (DCS) approach addresses:
Increased volumes of data and IT Complexity
Increasing the risk of data breaches and other cyber threats
Lack of visibility into data usage and access
Preventing security teams from detecting and responding to threats in a timely manner
Safeguarding data across device types
Where each may have different levels of authentication, encryption, or other security measures
Undefined network boundaries
Increasing the risk of attacks that bypass traditional security controls.
Why Data-Centric Security (DCS)?
Implementing data-centric security (DCS) offers organizations clear business advantages while also greatly strengthening their data security. By protecting data at its core, organizations can maintain the trust of their customers, partners, and stakeholders
- Data-centric security (DCS) is based on the principle of least privilege, meaning that access to data is granted on a need-to-know basis. This means that only authorized users can access specific data and only for specific purposes. Â
- It implements data protection controls such as encryption, access control, and data classification, which ensure that data is protected at all times, regardless of its location or format. These controls ensure that sensitive data remains confidential, the integrity of the data is maintained, and that data is available when needed.Â
- Organizations can ensure that data is protected at all times, not just when it is in transit or stored in specific locations. This reduces the risk of data breaches and other cyber threats.
- Data-centric security (DCS) makes it easier for organizations to comply with industry regulations and internal policies, such as data privacy laws and data retention policies.   Â
NextLabs Solution
NextLabs offers Data-Centric Security (DCS) products that protect data at the source, when it is in use, and when it is shared and on the move. Â
Secure applications, API, & microservices access, externalize entitlement, protect data, & simplify access management
Persistent protection of critical files stored and shared anywhere, cloud payload, and endpoint device
Zero Code Approach to protect data & secure access independent of application with data masking, FPE, & data segregation
These enforcement solutions ensure that sensitive data is protected based on its value and sensitivity, enabling organizations to align security controls with their business needs. They can be customized to meet the specific security requirements of any organization, regardless of size or industry. With a wide range of available out of the box integrations, the solutions can be integrated with existing security infrastructure, simplifying deployment and quickening time to value. Â
Securing an Intelligent Enterprise
Taking a data-centric approach (DCS) can give intelligent enterprises insights into how their data is being used and who is accessing it. By focusing on the data itself, and who should have entitlements to it, it becomes much easier to share that data both internally and with partners, speeding the pace of innovation and decreasing the time to market for new ideas.
