Overcome data sprawl & regional language barriers with effective data discovery & classification. Ensure compliance, reduce risks, and protect multilingual data assets.

Overcome data sprawl & regional language barriers with effective data discovery & classification. Ensure compliance, reduce risks, and protect multilingual data assets.
Data discovery, a crucial aspect of data management, can help organizations uncover valuable insights while simultaneously ensuring data protection and compliance. It is also essential for developing effective security controls and should be a foundational element of a comprehensive information security strategy.
In a digitally-driven world, data is the most valuable asset for an organization, and it needs to be protected at all costs. Data discovery and classification act as a foundation for data privacy and security strategy. Both the functions together serve the purpose of enhancing data visibility, analysis, categorization, and remediation.
Data is the most critical asset for any organization, and businesses cannot ensure its security if they are unaware of its existence and purpose. Data security refers to a set of controls or techniques that ensure the maintenance of confidentiality, integrity, and availability of data throughout its lifecycle.
Whether it is increasing the visibility across the network, meeting regulatory compliance, or protecting sensitive data from breaches and leaks, Data Discovery and Data Classification solutions benefit organizations in multiple ways, including staying compliant with regulatory mandates.
As remote workforces become the new norm and the rush for everything-cloud intensifies, the frequency and complexity of cyber attacks is only expected to rise, making the discovery of sensitive data a fundamental requirement and a key challenge.
Blog As organizations seek to expand their data footprint on the cloud, many executives responsible for data security and risk are encountering a challenge they have not had to navigate earlier: discovering sensitive data on the cloud. In fact, it is the security of sensitive information that most executives are worried about when it comes… Continue reading Data Discovery for Securing Sensitive Data on the Cloud
In many organizations, traditional methods of data storage have been ad-hoc with data security procedures not being given due consideration. For instance, let’s take the example of banks and the payment card industry. During the process of enrollment, customers are often asked to fill out their data in a physical form. The information in these… Continue reading How Data Discovery Tools Can Help Zero-in on Data Non-Compliance