Your business is very important, your data is secret Your projects costs you a lot of time and effort How to protect it? Credit cards data – Banks accounts, passwords, videos, docs, folders,!!! How to secure it? Very Important Files VIF Software protect the various types of files and programs at your computer. Against illegal access through encrypting the selected paths and folders and all its contents. Then allows you to deal and run these protected files through a special browser interface. This Program is directed to VIF is a useful program for all users of computers specially business men. As it provide a particular engine to handle protected files without enforcing the user to unprotect files and then re-protect it So it saves a lot of time and it is logical Details After adding the protection to the selected path by VIF, the protected folders – files will appear in the browser interface. The user will be able to handle his files easily by reading, running, coping, deleting. The most important thing is that you don’t have to handle the protection and unprotection process by your self. Because VIF will do it for you Advantages: VIF provides the protection for the whole path; it was tested at large paths (Up to 10 gb succefully). VIF encrypts the contents and the names of files and folders. So the undesired person will not be able to run the file or even to know it’s name and type. VIF is a special Between the other protection programs by its easy particular browsing interface. The program is Multilingual it supports 5 languages until now (Arabic-English-French-Spanish-Russian). Special Offer from 01Data NOW Buy VIF and get 40% discount.
Crack Full Key42LB9-I4XTL-2Q2W1-DJ41Q-XRAMU
.NET Framework 2.0
VIF – Very Important Files
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Variance inflation factor (VIF) quantifies how much the variance is inflated due to collinearity of regressor matrix columns. i_th entry in the output vector is the variance inflation factor for the i_th predictor, which indicates how much the variance of the i_th predictor is inflated due to collinearity.