Cloud computing and its applications are a must these days be with businesses or the government. The ease with which the users can access and make use of information technology services using their regular phones and devices is entirely dependent on it. And so is the security of these services.
Therefore, it is important to establish that these connections, configurations and procedures are foolproof. But is that the actual scenario or the human errors have been at fault?
If data from reports are taken into consideration, beaches due to faults in cloud computing have led to a loss of more than $150 million US in the past few years. Hence, it becomes crucial to not only ensure but access the established cloud security as well.
Pillars of cloud security
Cloud security is indeed a matter of concern and can be well verified through the following:
Enabling security
Well, you might be wondering what is about securing cloud security? But the fact is a configuration essential for keeping the records and data safe does require fine-grain security itself. It is the first parameter to limit access to cloud security so that it is governed by only a few select employees of the company.
The zero-trust approach
Just as the name speaks, this measure ensures that a particular network within the cloud is entirely capable of providing the necessary infrastructure to the jobs running across its endpoints. This is implemented by creating subnets within the cloud networks even private ones by further using micro-segment workloads and proper security policies.
Periodic policy updates
Cloud services are provided by Cloud Service Providers as third parties contracted for the services they offer. To ensure that their services are free of error they keep updating the product as well as the policies related to them and their usage. However, not many clients of these CSPs actively accept them. This is another reason that despite having a protection layer provided, clients push it aside.
Improve data protection
Till now we have discussed taking measures to ensure data is far from the reach of malicious users. But what if there is still something missing and the protocols put in place fail? How will we manage our precious data? The answer to this lies with the protection of the data layer itself.
This implies that once the communication to the data buckets is secured, it is good practice to ensure the connectivity to these buckets is secured as well. This can be done with the help of data storage hygiene checks and cloud security monitoring as well.
Familiarize with the unknown threats
Baffled by the statement? After all these precautions and security layers added, is there still anything that is left unchecked? The answer is that yes, there is always a possibility.
There is always a possibility that while preparing a workflow something was missed due to human error as there was already a lot to be correctly configured. However, there is also the possibility that the configurations made are just perfect. But in order to ensure that, you need the assistance of AI. With AI bases threat detection algorithms, it becomes easier to test the flow of test data before the actual workload begins to run in the workflow.
With these flows, parameters, and checkpoints deployed, you can easily access your cloud security and protect it from data breaches as well.