Securing Data In Cloud || Enterprises Steps

Steps an organization should take to secure their data in the cloud

Information Technology shifts to cloud computing has allowed each sector of business firms to lower their IT costs, resources, and reduce the on-site burden of their IT infrastructure. Most of the IT firms or any kind of business firms are using the cloud to manage their enterprise resource planning (ERP) system. It helps to improves security visibility and compliance programs, integrate 24*7 active monitoring by security expert

s with network threat detection, log management, vulnerability assessment and web application protection. So, cloud helps to restore all data, information, and strategic information of personal or organization. Protecting the cloud data is the most important and crucial steps that must be taken into priority. The following steps should be taken to secure the data in the cloud:

Redundant and Layered Security:

An organization should develop a redundant and layered security. A layered Security is an approach to which security is implemented at any level of a complete information security strategy. Whether the administrator of only a single computer, accessing the Internet, or a user enterprise WAN, a layered approach to security tools deployment is layered Security. In other words, layered security is about multiple types of security measures, each protecting against a different vector for attack.

While multiple implementations of the same basic security tool are the process of redundancy of data. Making several tools each cover for the others' failings is the example of redundancy of data.

Continuous validation and testing

Another step is that, Organization should undergo for a continuous validation and testing to secure data. The Cloud system and data itself is continuously changing and is very dynamic in nature. Continuous Validation Framework is designed to mitigate these risks and ensure that your cloud data is maintained in a validated state. Continuous validation is a process of providing documented evidence to certify that a cloud data or information not only met the per-established acceptance criteria, but “continuous” to meet thus mitigating the risk of unknown changes. Continuous Validation helps to ensure reliability and instill trust throughout the life-cycle of the application or data.

24*7 Automation/ Monitored

An organization should develop a 24*7 automatic monitor system to protect a data in cloud. A centralized approach is necessary to monitor virtual infrastructure, on-premises IT environment, and cloud infrastructure automatically for 24*7.

Example:

AWS CloudWatch, Discover and monitor the availability and performance of AWS cloud resources and measure metrics for critical AWS services including EC2, RDS, EBS, and S3 buckets.

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