Max Carter

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Device protection and network continue to consume IT security resources, but they are becoming less and less effective at protecting organizations from cyber threats. Data breaches are now a daily occurrence, creating massive financial burdens for corporations, government agencies, and consumers. Perimeter breaches will become even more common in the years to come, as data volumes continue to grow and IT architecture evolves away from traditional network-based models.

In our new digital environment, data-centric security is the only viable option for keeping sensitive information safe. This paper gives an overview of the key principles of data-centric security, along with best practices for designing and implementing an effective data-centric security solution. Learn more about it from write my essay service online.

Data-centric security in the era of data protection and privacy journey |


The defining characteristic of data-centric security is that protection is applied to data itself, independent of the data’s location. To be effective, this must happen automatically—sensitive information should identified as soon as it enters an organization’s IT ecosystem, and should be secured with policy-based protection that lasts throughout the data lifecycle.

A typical implementation of data-centric security consists of software agents installed on every IT asset where sensitive data might be created or stored—laptops, desktops, servers, mainframes, mobile devices, and elsewhere. This approach is also used by paper writing service online.

These agents are controlled by a centralized management console, where administrators define the appropriate form of protection for each data type and use case.


Each organization requires a unique solution—one tailored to fit the company’s threat exposure and business needs. However, all successful implementations of data-centric security have certain characteristics in common: they’re tightly controlled from a centralized management system, they provide coverage across the entire organization without security gaps, they rely on automation rather than manual intervention, and they’re adaptable enough to grow and change along with the organization.

Every data-centric security solution must be designed with these key principles in mind, or the finished product will fall short of its goals. Centralized Control Centralized management is essential to ensure that data is protected according to the organization’s security policies, and that data remains available for appropriate use. Most organizations, even those that have not adopted the data-centric model, already have some data-level protection in place. Typically, this takes the form of user-applied file encryption—when employees encrypt files with passwords before sharing them with colleagues or external recipients. It can be useful for essay writer to secure his data.

Though very common, this approach creates three significant problems: y Employees might neglect to apply protection when it’s needed, or might choose methods that don’t provide adequate protection. y When they do encrypt their files, employees must then find a way to share the passwords (the encryption keys) with the recipients, which typically requires the use of unencrypted email or another unsecure method. y User-applied encryption leaves employees, rather than administrators, in control of encryption keys.

When keys are not available (for example, when employees fail to share them, forget them, or leave the company without providing them), the organization can permanently lose access to critical data. When properly implemented, data-centric security gives the organization complete control over its sensitive data from the moment that each file or database record is created. Access to protected data can be granted or revoked at any time, and all activity is logged for auditing and reporting. You can also pay for essay to get more essays on data security.