Data-Centric Security
What is Data-Centric Security?
As enterprises increase their use of digital information and undertake Big Data projects, the idea of data-centric security is becoming increasingly mainstream. This security model focuses on the reliability of the underlying data itself, instead of centering the security of networks, servers, or applications. It’s based around implementing layers of solutions that help organizations understand their most sensitive data, govern it well, and secure it from a world of increasingly clever threats from bad actors across the globe.
Common processes for Data-Centric Security include the ability to:
- Discover exactly where and how data is stored across the enterprise
- Define access policies that dictate which data can be accessed, edited, or blocked from specific users, groups, or locations
- Defend against the loss or unauthorized use of sensitive data
- Monitor data usage to identify anomalies and protect against potentially malicious behavior
- Create policies that balance technical considerations with business context
While they remain important considerations of any digital security strategy, security technology and infrastructure risks are no longer the primary focus within the data-centric security framework. Now the focus is on the data being protected—whether that data was entrusted to the organization by an outside user or customer, acquired from a vendor, or generated in-house. By connecting IT security technology with the business data those services protect, data-centric security bridges the long-held divide between the technology that drives the IT world and the strategy that drives the business side.
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