This paper presents the basics of a new paradigm that allows generators and consumers of global contextual information to determine an appropriate security level needed for contextual information. Security levels have a direct correlation with confidence in the integrity of contextual data and thus their processing. The new approach is based on the concept of branes, which can be used to map different security levels of a collection of data points in some space. It turns out that different branes offer different classification capabilities and computational challenges. The data are described according to their information context and to their security requirements. Because the internet inherently does not have good security, the creation of this model has necessitated the development of new methods for securing contextual information as it migrates around the web.