Data drives enterprise success. The collection, identification and analysis of big data is critical to inform new strategies and help companies get ahead. As a result, organizations are adopting new collar hiring techniques to find the best and brightest data talent, while emerging tools are helping companies make the most of their massive data stores. As noted by InfoWorld, data lakes are now becoming data warehouses thanks to artificial intelligence (AI)-driven automation.
But in the rush to adopt new technologies and hire new talent, it’s easy for data protection to fall from C-suite priority to enterprise also-ran. So let’s break it down: What is data protection? Why does it matter so much? And how can companies implement protection processes that deliver better defense without derailing business value?
What Is Data Protection?
Data protection is the process of securing digital information without limiting the organization’s ability to use this data for business purposes or compromising consumer and end-user privacy.
Protecting data therefore falls into the simple-but-not-easy category of infosec initiatives: IT professionals have no trouble visualizing a secure data landscape, but the increasing complexity and scope of cloud computing deployments, internet of things (IoT) adoption and AI-enabled technologies makes designing a defense road map more difficult than it appears.
In fact, according to “The Fourth Annual Study on The Cyber Resilient Organization,” many companies lack consistent, effective security plans around data protection. Only 23 percent have cybersecurity incident response plans applied consistently across the entire enterprise ..
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