There is no silver bullet when it comes to protecting sensitive data. No single security technology investment will eliminate the risk of data theft or a mistake exposing sensitive information. To proactively defend against attackers, enterprise security teams are learning that they need to collect and centralize security and compliance information from all the tools at their disposal.
Current Approaches to Data Security Lack Scale
Organizations today need to effectively secure and maintain the integrity of corporate data, which is growing at a compound annual growth rate of 40–50 percent, according to IDC’s Global DataSphere research. This growth is influenced by digital transformation strategies, a continuous process in which enterprises analyze customer data to create new business models, products and services that enhance the customer experience.
To help enable transformation, businesses are turning to a hybrid mix of on-premises and cloud-based technologies to increase agility, remain competitive and drive their organizations forward. This has resulted in an influx of cloud-hosted database infrastructure and services proliferating within the enterprise.
Data Security Challenges that Arise When Adapting to Modern Technologies
Attackers are seizing on the vulnerabilities generated by the struggle of enterprise security teams to manage data security across hybrid and multicloud environments. Likewise, data security tools for discovering, classifying, monitoring and protecting sensitive data are often designed for specific environments and narrow use cases. As a result, teams are overwhelmed with limited data security visibility, fragmented compliance reporting and disjointed workflows across their on-premises and cloud-hosted data stores.
IDC studies have identified this lack of s ..
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