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Data classification should therefore be a core requirement of every security framework. More importantly it must be a key part of your business processes, clearly informing everyone (and everything) handing the information, how this information should be controlled. Only by providing clear, unambiguous guidance can information be properly protected, and the risk of an accidental breach minimized.
Data classification can also add real value to organizations by providing a simple front end to orchestrate complimentary security solutions, such as IRM or encryption, enabling all of the attributes of an IRM or encryption tool to be used without making it complicated for the user. All they do is apply the classification label everything else is automatically done. The good news is that data classification can also be customized to your specific policy and working practices, rather than being forced to adopt a ‘one size fits all’ approach. This KuppingerCole webinar will provide you with guidance and best practices for choosing and implementing the right approach towards sensitive data classification that in addition enforces other security controls.
In the first part of the webinar, Martin Kuppinger, Founder and Principal Analyst at KuppingerCole, will demonstrate the critical role of data classification for ensuring adequate data protection and governance for complying with strict government and industry regulations. He will talk about various approaches towards data classification and about technologies for automating and enforcing classification policies.
In the second part, Paul Johnson, VP EMEA at Boldon James, will talk in detail about how various technologies, such as IRM and encryption, can be fully automated from the simple act of classification; thus increasing business efficiency and streamlining operational and security processes. It also enables security polices to be enforced through many different stages of a lifecycle – from emailing, archiving, discovery, encryption, and covering different environments such as structured, unstructured, Microsoft, Apple and IBM Notes.
