Strategies to Make Public Cloud Secure Environment

The Cloud is already their main data repository.  Gartner said the public Cloud services market reached 397.4 billion dollars in 2023. It will grow by 21.4% year-on-year in 2024, as IDC points out.

Four techniques that make the public cloud an even more secure environment and meet organizations ‘ objectives regarding the security and privacy of their data. The company collects the keys in a document prepared by company specialists.

Many companies wonder whether their data and applications are safe in the public cloud and whether privacy is guaranteed.

However, given the nature of the public cloud, which adapts to all needs, it allows security restrictions to be changed if requested. Therefore, having good governance of the cloud platform security is essential to guarantee data privacy.

However, there is still a certain mistrust towards the public cloud, especially in those sectors whose data is related to personal information, such as the health, financial or retail sectors, which has led them to dispense with them as a source of value creation for the business.

Key elements that will help companies trust the cloud

Key elements to make it the essential platform for developing your business around data while complying with the required regulations.

• Zero trust. Given the rise and prospects of remote work, companies must constantly monitor and authenticate those who access the organisation’s private network. The zero trust system goes a step further than VPNs, asking users occasionally for their identity to prevent outsiders from sneaking into the server and offering a better user experience.
• Data de-identification. The cloud provider uses A zero-trust model to reduce the risk of exposure. Thanks to this technique, personally identifiable information is eliminated by applying masking or tokenization mechanisms. In addition, this technique can be used in conjunction with other better-known techniques, such as data encryption, adding an extra level of privacy.
• Data Lakes. Once the data has been de-identified and the analysis objectives have been achieved, the next step is storage in a Data Lake. A data lake allows organizations to store massive amounts of information in a governed location, solving the data privacy problem. Sensitive information enters the data lake privately and securely, reducing the risk of exposure to attacks or misuse. Creating a data lake for the health sector through the recovery plan and a vast digital infrastructure to store health data throughout the national territory is contemplated.
• Data governance. The basis for all issues related to data privacy and security to be carried out is to establish adequate data governance, which involves a series of phases such as knowledge of the data itself, planning and strategy around management and, within this, a priority in the area of ​​data privacy to guarantee its security and compliance.

Under the secure framework of the public cloud and these mechanisms to ensure the privacy of information, companies can have sufficient guarantees in protecting their data and, thus, be more competitive.