Addressing Data Security in Government
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The importance of protecting critical data and maintain confidentiality for any organization cannot be overemphasized. It assumes great relevance and absolute urgency in the case of organizations like the government, military, and intelligence due to the highly sensitive and confidential nature of the data they deal with.
The traditional protection technologies at network and endpoint layers are great but not enough. The high-profile data breach incidents are proof that these technologies are increasingly ineffective against advanced cyberattacks and compromised insiders, leaving gaps where data is exposed.
Data-centric security approach:
When properly implemented, comprehensive data-centric security gives the organization complete control over its sensitive data from the moment it is created.
Critical Data Discovery and Data Classification are the two most important building blocks to enforce data-centric security within an organization to protect sensitive/regulated data, maintain confidentiality, and minimize the risk of data spillage and inadvertent disclosure.
Forrester says, “when you know where the data is and how important it is to the organization, you know how to treat it. Classification information can be leveraged across the technical operational environment to create efficiencies…If you are not leveraging data classification, you are working too hard.”
Klassify Data Discovery & Classification Suite is intelligent data discovery, data classification, and policy enforcement solution. The unified tool ensures data identification in different file formats, classification of data based on data sensitivity during different data lifecycle stages i.e. data at rest, data in use, and data in motion, to mitigate risks of accidental data leakage and unauthorized access.
Key features:
Key use cases:
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