Securing the data ecosystem | VentureBeat

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Organizations are frequently pressured to choose how to prioritize what is needed in terms of data management. At the same time, they make hasty decisions to comply with industry and regulatory standards. Some prioritize cyber security risks and data leak concerns over cost efficiency. What many don’t realize is that while data management is cost-effective, it can protect against cyber attacks. The growth of big data in the digital world is phenomenal. Developing an efficient data management strategy is key to securing your organization’s data ecosystem.

Data management seems daunting as the sheer volume of data is being churned out every day. It’s not an easy task, but intelligent management technologies and best practices of data management can help your organization avoid the consequences of poor data management, leading to high costs and vulnerability to cyber attacks.

Understanding ROT data

There are three types of data: redundant, old and trivial data – otherwise known as ROT data. The more ROT data a company has, the greater the risk of being the victim of a cyber attack. Companies can reduce risk and reduce costs by understanding their ROT data.

Our conditioning to save multiple copies of the same dataset often leads to redundancy because we are told that it is best to hold everything. Old data is just that: data that is old and no longer relevant. Trivial data is data that no longer serves any purpose and takes up space on the server while slowing down the process. Organizations can deal with this problem by knowing what data should be kept, deleted or sorted.

Another challenge that comes with ROT data is data storage – companies go with the conditioning of the need to capture data and store it in the cloud. While the cloud seems like a cost-effective solution, as the cost is very low per gigabyte, ROT data quickly drives a monthly storage fee. In response, companies are buying one disk after another to support this growth, but then in five years, they have run out of space and accumulated a lot of disks.

A way to protect your data

First, organizations need to identify what data needs to be retained, whether it is needed to run the business or to complete the company’s compliance systems – for example, SOX audits require financial data to be maintained for up to seven years. In contrast, GDPR legislation in Europe suggests that user data should be removed as soon as it is not needed.

You can save your organization a lot of money through data archiving methods that manage unstructured data in a sophisticated and cost-effective way. It also opens the door to use data as a critical corporate asset that can be easily mined and used to its advantage. For some businesses, master records or archives of certain sensitive data should be retained unless they are copied or viewed by unauthorized actions.

Intensive security incident monitoring and authentication is also a good practice. This helps the enterprise identify access controls that are incredibly useful for securing data and gives data stakeholders a head up on impending risks, confidential or known data vulnerabilities and potential privacy or compliance issues.

Organizations can quickly identify and resolve problems by setting up automated data search policies to keep up with current protocols for compliance systems. A practical example of this is sharing medical data without signed forms or failing to delete account information when it is not needed.

Organizations do not need to turn a blind eye to the growing cyber security risks and data leaks because they are unaware of the cost-effective solutions of data management. Companies should become familiar with data management strategies that help identify and organize what data should be kept, deleted, or sorted. In doing so, we transform the digital world by protecting the data ecosystem. Just helping these organizations create new value – is an important factor in reducing costs and preventing cyber attacks.

Adrian Nap is the CEO and founder of Aparvi,

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