Equally important as classifying EAR Sensitive data, is categorizing it. Once data is deemed as sensitive or non-sensitive, an organization must apply a set of categories that will differentiate data based on confidentiality and authorization. While it’s understood that an inherent rule of EAR compliance demands that EAR Sensitive data not be seen by non-US citizens, data classification can take this rule a step further and apply authorization internally. On a rudimentary level, data can be classified in ways so that non-US citizens within the organization are not allowed access. Furthermore, this data can be classified as a means to provide internal confidentiality. Technical data can be grouped in different confidentiality levels, for example; 1) Public Use 2) Internal use 3) Confidential 4) Top Secret, and so forth. This can provide appropriate authorization both inside and outside the organizati
Navigating the Complex World of Bots in Modern Cybersecurity
Introduction In 1995, when English Premier League top team Arsenal decided to buy mercurial Dutch forward Denis Bergkamp, they knew they were taking on a