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Data Loss Prevention (DLP) , Endpoint Security , Governance

How Data Classification Enhances Protection and Reduces the Severity of a Breach

How Data Classification Enhances Protection and Reduces the Severity of a Breach

With more data being moved out of on-premise environments, data needs to be classified and secured to an appropriate level to prevent it from being compromised. This embraces the practice of assessing the risk of data loss, mitigating those risks and applying adequate resources towards securing the data, both on-premise and in the cloud.

See Also: Webinar | The Future of Adaptive Authentication in Financial Services

Cyber incidents are a fact of contemporary life, and significant cyber incidents are occurring with increasing frequency impacting infrastructure no matter its physical location. Mitigating the loss of data is therefore a priority. And not all data is equal; some data needs to have a higher level of security than others, and therefore the cost could be 10x different. What are some data strategies that practitioners can adopt to achieve this?

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