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Data classification best practices: Techniques, methods and projects
This article is part of the Information Security magazine issue of March 2009
The process of data classification is not something that comes naturally to us. So why even bother to do it at all? Because it just makes no sense to treat all information as if it has the same security significance (or integrity significance or availability significance). Without making a conscious decision to perform different levels of control on different types of data, you inevitably either treat all data as if it were nuclear waste, carefully securing it to such a degree that nobody can get any work done, or apply no controls whatsoever, ensuring that proprietary and regulated data will get into the wrong hands. A data classification model is a mechanism to optimize the level of security effort, maintaining the maximum possible flexibility while ensuring a proportionate level of control for sensitive data. But how do we do choose a model that is practical and useful? What data classification best practices should we follow? Given that classification is a practice we borrowed directly from military organizations, it's ...
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Features in this issue
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Columns in this issue
The Obama Administration is conducting a review of the government's cybersecurity policies and process. We should be encouraged that security could move beyond the useless paper exercise it is today
As enterprises outsource more services and share data, they must be vigilant about the security of third parties.
Effective data classification in the enterprise requires a simple approach.