The Data is assumed to be consistent, reliable and complete. but it can happen that, during your Life cycle something affects them, either voluntarily or involuntarily, and causes consequences for him data quality, For him business intelligence or for him security.
The main causes of loss of data integrity.
Principal responsible for the loss of data integrity there are three: unstructured data, the manual data entry and the direct attacks on data or its intentional modification.
– The unstructured data: in companies it is usual to work with formats such as spreadsheets, which are unstructured formats and make it possible to store information without any type of control. This operating mode directly affects the data quality, which makes the information unreliable. The problem begins to be perceived in strategic or executive decision making, from that information and clad in vulnerability.
– The manual data entry: when working with systems, that are supposed to be safe and reliable, the only way to alter this reliability it's a human error. Lack of validation of inserted values increases the risk of entering data incorrectly. It is a fact: direct entry into the system can lead to issues affecting final reports, as an example if you want to make projections (selling, purchase, etc.). When data is not entered correctly, or if they are entered incorrectly, the report generated based on that information will be totally incorrect. Therefore, the data quality and integrity are fundamental when we talk about WITH A.
– Attacks on data integrity: both these assaults and the intentional modification of the data obviously impact the security of the information. For this case, We are no longer talking about human error but about the ability to modify the data, at any stage of its life cycle, in its own conception and without any authorization. The 80% of these leaks or changes come from within the organization and are much more common than attacks triggered by agents that come from outside the organization.
Powerdata reinforces safety through prevention, thanks to the technique of masked. It is true that there are different types of security software that prevent or attempt to prevent access to systems, but what happens if the protagonist of the attack manages to evade all security controls?
It is in these cases where masking shows its effectiveness since, if the case were raised, the causative agent could not make any use of the information obtained. This protection extends to productive environments where it is essential that data remains intact from the moment it is generated. The way to achieve this is through an intermediary software that masks the data but does so exclusively at the time the information is captured and based on roles previously defined by the company., that can determine access levels adapting them to the needs of information use.
Photo credits: “White plug on the orange wall” by frankie_8
