Is it possible to have a common cybersecurity framework addressing an enterprise’s data security and data privacy needs? If yes, how can organizations ensure that it’s comprehensive and does not leave vulnerabilities open to be exploited by cyber adversaries, w.r.t. people, process, and technology.
Introduction
Organizations and C-level executives around the globe are struggling to come up with a comprehensive cybersecurity framework that can address their data security and privacy needs. There are numerous frameworks available today that talk about both cyber security and data privacy needs of enterprises, e.g., NIST, ISO, CIS, etc. However, most of these frameworks have been designed in such a way that they are industry or domain-agnostic.
Challenges of Having a Common Framework For Data Security and Data Privacy
It is not uncommon for organizations to have a separate framework for their data security and privacy requirements. However, there are also organizations that are leveraging the industry best practices, guidelines, and frameworks that can address both. There are challenges of having a common framework for data security and data privacy:
- Lack of Expertise :
Designing a common framework for both data security and privacy needs expert advice and guidance. Cyber experts are in huge demand and so are the data privacy experts. However, it is often not feasible for enterprises (especially SMBs and SMEs) to hire a full time expert who is well-versed in both data security and privacy domain.
- Complexities of Data Classification:
At times, it becomes difficult for organizations to classify data based on a need-to-know basis. Moreover, not all the employees are well-versed with the organization’s data classification and labeling needs. It often creates a confusion among application developers and owners, whether to categorized the data as confidential, internal, or public.
Conclusion
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