A comprehensive analysis of how data-centric security works in the prevention of cybercrime
In 2022, the situation regarding cybersecurity will be quite alarming. Cyber attacks and breaches have reached an all-time high resulting in the loss of efficiency, revenue, and data, for both government and private organisations. The key to combatting cybercrime is creating efficient data storage modules. The modern definition for these cyber-infused storage technologies is called Cyberstorage and has three different techniques to manage data collections.
Data protection involves securing both primary and secondary data files from compromise, loss, theft, or corruption while ensuring that data is quickly restored to its fully functional state in a breach.
Data storage provides scalable utility infrastructure to effectively store data while preserving the accuracy, integrity, and quality of data as it is made available to users over standards-based protocols.
Data compliance involves minimising threat vectors by certifying that all systems regularly enforce standardised data security policies and that all parties comply with regulations to prevent possible misuse, theft, or loss of sensitive assets.
And finally, the implementation of data-centric security involves a three-step process that leaves no stone unturned:
The first action to take is the reorientation of perspective. Methods to view data in terms of the asset that is of interest to protect must be upgraded. The primary challenge is that most organisations lack visibility about the condition of their data in terms of who has access to it and how it's being used. This can be achieved through smart software like a cyber storage solution.
The second task is to layer and compartmentalise data sets. This involves logically categorising users and applications by their respective functions and then taking a segmented approach to implementation. Once those boundaries are established, implement controls in layers to ensure protection.
The final step is to establish a feedback loop. This can be accomplished by taking information from multiple sources and continuously feeding it back into a system which can evolve right alongside the threats. Systems such as audit and changelogs, admin and user access patterns, and policy changes provide a basis for machines to learn and improve defences autonomously.
