Document control: the pillars of security
Documents contain valuable information about companies, so close security control is very important. Lost information can seriously compromise the entire continuity of the business. In today’s article, we cover the main pillars of security in document control!
Availability
It is essential that documents are available for consultation whenever needed. The information should be available and suitable for immediate use whenever needed. Therefore, it is essential that documents are stored in an easily accessible place (either in digital or physical format). Information access processes should be simple and practical, so as to make consultation as easy as possible. However, we must not forget that each employee should have access only to the documents they really need to work. If all employees have access to all documents, it is almost impossible to detect the source of any information leakage, for example.
Integrity
Documents should be kept intact for easy review. No documents should be scratched, stained or damaged that prevent them from being read correctly. In the case of digital documents, the files cannot be corrupted. In addition, documents must be protected in such a way that they are not unduly altered. There must be strict rules so that documents can only be changed by those authorized to do so.
Confidentiality
“The secret is the soul of business”: the phrase is old, but it still makes sense. In today’s business world, where cyber threats are around the corner, it is essential to protect your business data, to ensure that your competition doesn’t figure out what you are planning and also to protect your confidential data. its customers and other stakeholders. All companies are aware of the need to protect data. Tools like Datapeers help companies mask their data. Masking sensitive data is an essential component of a data security plan. Datapeers reduces the risk of data breach by replacing sensitive data with fictional but realistic data. Masked data maintains referential integrity and is statistically defined, enabling testing, analysis, and business processes. The primary use of masked data is in nonproduction environments, including test and development environments.
