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Data-centric security is an approach to security that emphasizes the dependability of the data itself rather than the security of networks, servers, or applications.Data-centric security is evolving rapidly as enterprises increasingly rely on digital information to run their business and big data projects become mainstream.
Huxham Security Framework. Whilst security architecture frameworks are often custom designed in enterprise organisations, several models are commonly used and adapted to the individual requirements of the organisation Commonly used frameworks include: SABSA framework and methodology; The U.S. Department of Defense (DoD) Architecture Framework ...
In 2018, The Global State of Information Security Survey 2018 (GSISS), a joint survey conducted by CIO, CSO, and PwC, [1] [2] concluded that 85% of businesses have a CISO or equivalent. The role of CISO has broadened to encompass risks found in business processes, information security, customer privacy, and more. As a result, there is a trend ...
Information security is the practice of protecting information by mitigating information risks. It is part of information risk management. [1] It typically involves preventing or reducing the probability of unauthorized or inappropriate access to data or the unlawful use, disclosure, disruption, deletion, corruption, modification, inspection, recording, or devaluation of information.
Moreover, business continuity planning and physical security may be managed quite independently of IT or information security while Human Resources practices may make little reference to the need to define and assign information security roles and responsibilities throughout the organization. ISO/IEC 27001 requires that management:
To devise a robust information assurance program, one must consider not only the security goals of the program (see below), but also how these goals relate specifically to the various states in which information can reside in a system and the full range of available security safeguards that must be considered in the design. The McCumber model ...
However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).
The standard requires effective security measures that protect sensitive (personal) data and other assets, such as command and control data. It also requires that security vulnerabilities in the software have been eliminated, security principles, such as defense-in-depth have been followed, and the security of the software has been verified ...