What is data camouflage?

Data camouflage is a process that is used to protect information that is stored in different types of data management systems. The aim is to prevent data from being damaged in some way, and to make sure users have access to information relevant to their security clearance. When the database camouflage techniques are used, the original data is maintained intact, while the data mask still works in what seems to be the right construct. Masking data helps to minimize the risk of breach of business security, both from the internal threats of corporate espionage and from illegal access to hacker databases.

There are a number of different approaches to camouflage data. Most of them will include encryption data to be used for testing and development purposes, but without having to detect all sensitive data at the same time. One example would be found to obtain information from the Database Customer at Credit Card. RepresentativesCustomer services may be able to see the last four credit card numbers or social security number, but the rest of the number would be masked in some way. This approach still allows the representative to obtain some information needed to help the customer while mask access to data that is not required to provide this assistance. As a result, customer data and privacy remain intact.

One of the key strategies in data camouflage is to ensure that once this mask has been created for a piece of data, it must appear consistently throughout the system. With the example of a credit card number, the same mask that hides all except the last four digits of the number shows the client at any time contact the customer service department. This means that the masking protocols must be uniform, even if it becomes sufficient to protect data from the use of unauthorized sources.

jaAny data type can be protected by the basis of data camouflage. It is possible to mask the numbers of customer accounts, addresses, geographical distribution and any other type of ownership information that businesses use as part of an ongoing operation. The processes used should usually be configured so that they cannot be rewritten, which makes hackers more difficult to break the data mask. At the same time, the methods used should not create a situation where those who have the highest level of security clearance cannot approach the data after the mask if necessary.