Organizations invest in assets to protect their intellectual property and confidential data. They embrace actual total loss control of data and adopt total loss control over data to stop the disclosure of sensitive data due to the actions of cybercriminals, as well as malicious and coincidental insiders.
One kind of total loss control of data includes endpoint protection solutions, which stop file uploads to public sites or file transfers to flash drives. But the bigger and more complex the organization, the more users who have exceptions. They sometimes don't need such total loss control of data in order to be able to fulfill their tasks.
To put in place total loss control of data, organizations should install components, which include risk assessment, data governance, regulatory, and privacy compliance. These also cover data discovery, remediation processes, data classification, and training and awareness. The aim of total loss control of data is to prevent data from leaving the organization. There are various possible vectors through which this situation could become data leakage.
The reason for total loss control of data is to execute a data classification scheme. It identifies sensitive data that organizations need to ensure. A data classification scheme may characterize categories, like internal, confidential, and high confidential. For example, igh confidential data represent the greatest reputational and financial hazard whenever leaked.
User awareness training is part of the total loss control of data, but organizations need to deploy total loss control of data for something else: the implementation of their policy structure. They need to keep data from leaving the organization. Data loss prevention solutions on a workstation can shut out users from transferring files, especially those out of the control of the organization.
While implementing a total loss control of data, data privacy issues need attention. Total loss control of data needs to get to and examine the data transferred or stored. This may have security implications for users. Along these lines, organizations should consult with experts specializing in local law. This is to guarantee compliance when implementing a data loss prevention solution, which also applies to the risk-based approach on top of the data loss prevention. Logging of activity, monitoring, and sorting risk groups might conflict with local regulations.
Moreover, organizations may need to get an endorsement from internal work councils. In any case, an organization should define rules, policies, and procedures, outline expected user behavior, and define the possible extent of logging and monitoring activities.
A customized total loss control of data will be unavoidable. This will account for the individual requirements and prerequisites that each organization will have. The main idea continues as before, in which users are in a category by their access to sensitive data. Furthermore, organizations define rules for every classification of users to restrict their capacity to leak or transfer the data they have access to.
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Comodo Dome Data Loss Prevention is a 100% cloud-conveyed service that guarantees organizations against the exposure of sensitive data. Comodo Dome Data Loss Prevention helps organizations meet administrative prerequisites and supports client trust, with no IT footprint or security staff.
Comodo Cybersecurity offers Comodo Dome Data Loss Prevention for organizations of various sizes, centering around those without dedicated IT and security resources. There might be specific data security and privacy controls that you will need adjust to. Comodo Dome Data Loss Prevention helps you guarantee data regardless of its status.
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