Fueled by increasing public demand for data protection initiatives, multiple new privacy regulations have recently been enacted, including Europe’s General Data Protection Regulation (GDPR) and the California Consumer Protection Act (CCPA). This complexity creates an expanded attack surface that’s more challenging to monitor and secure.Īt the same time, consumer awareness of the importance of data privacy is on the rise. In addition, computing environments are more complex than they once were, routinely spanning the public cloud, the enterprise data center, and numerous edge devices ranging from Internet of Things (IoT) sensors to robots and remote servers.
The sheer volume of data that enterprises create, manipulate, and store is growing, and drives a greater need for data governance. Ideally, these tools should be able to apply protections like encryption, data masking, and redaction of sensitive files, and should automate reporting to streamline audits and adhering to regulatory requirements.ĭigital transformation is profoundly altering every aspect of how today’s businesses operate and compete. Data security involves deploying tools and technologies that enhance the organization’s visibility into where its critical data resides and how it is used. When properly implemented, robust data security strategies will protect an organization’s information assets against cybercriminal activities, but they also guard against insider threats and human error, which remains among the leading causes of data breaches today. It also includes organizational policies and procedures. It’s a concept that encompasses every aspect of information security from the physical security of hardware and storage devices to administrative and access controls, as well as the logical security of software applications. Data security is the practice of protecting digital information from unauthorized access, corruption, or theft throughout its entire lifecycle.
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