2015
DOI: 10.1016/s1361-3723(15)30037-3
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Data loss prevention: the business case

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Cited by 9 publications
(3 citation statements)
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“…Companies that cater to the end consumer cannot afford to keep the data loose and vulnerable to hackers. The most important part of SECaaS is to educate these companies because data is the company’s biggest asset (Arbel, 2015; Angeles, 2013). Due to the service differentiation of a company (Furfaro et al , 2014), highlights the importance of the specific policy in SECaaS.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Companies that cater to the end consumer cannot afford to keep the data loose and vulnerable to hackers. The most important part of SECaaS is to educate these companies because data is the company’s biggest asset (Arbel, 2015; Angeles, 2013). Due to the service differentiation of a company (Furfaro et al , 2014), highlights the importance of the specific policy in SECaaS.…”
Section: Discussionmentioning
confidence: 99%
“…Category 2: Data loss prevention (DLP) . DLP is one of the most important solutions in modern business (Arbel, 2015), which provides protection, monitoring and verification of operational and recovery data. DLP is a strategy for ensuring that unauthorized users do not lose, misuse or access sensitive data (Agarwal and Tarbotton, 2017).…”
Section: Classificationmentioning
confidence: 99%
“…Employees, i.e., the human element, have been identified as one of the most significant sources of data loss/leaks and can be enhanced in case of disgruntled employees when it's intentional, but it can also be unintentional [2]. Data Loss Prevention (DLP) emerged as a group of practices, techniques, and technologies with the sole aim of reducing or eliminating data loss from organizations, but it's also extended to keeping track of all data leaks, which may aid in recovery or at least, litigation against intentional data leaks [3]. DLP solutions, systems, and frameworks focus on both intentional and unintentional data leaks as well as on different dimensions of data leaks, including organizational parameters (both digital and physical) and end-points that connect to the company data points [4].…”
Section: Literature Reviewmentioning
confidence: 99%