Business owners and managers are realizing that data is an important element of success in any business. For this reason, more and more businesses are collecting a lot of data to help in decision-making. With such data, you can establish key insights to help you improve different aspects of your business. However, securing the large volumes of data that you collect each day can be a challenge.
Whether yours is a small business enterprise or a large corporation, it is advisable to adopt the necessary strategies to ensure that your big data does not leak. Any leak in data can be costly and destructive to your business. So, how do you protect your big data in this age? Read on to find out!
|Table of Contents|
What is Big Data?
Big data is a common phrase not only in the information and technology sector, but also in the business world.
So, what does big data mean? Big data is a set of data – may be unstructured, semi-structured, or structured – that organizations collect to mine information and use for informed decisions. Usually, such data is very huge and complex, making its storage a huge challenge for most businesses. Below are the 6 reliable ways to secure Big Data within your company.
Adopt Endpoint Security
The safety of your data is of paramount importance. However, without the right security measures, it can be hard to keep your big data protected. Implementing endpoint security is one of the best ways to protect such data.
Having trusted certificates at all endpoints will keep your data secure always. Also, focus on adopting extra security measures such as regular resource testing and ensuring that your device management platform allows connection with trusted devices only.
Tighten Security for Non-relational Scores of Data
Most business owners neglect the non-relational and NoSQL databases because they do not have a lot of security features. Cybercriminals target such data scores to steal personal and business information. It is important to ensure maximum security for non-relational and NoSQL databases.
The first approach towards boosting the security of these data scores is by relying on data analytics to establish any vulnerabilities within the databases.
Customize Your Security Solutions
Maintaining the security of big data requires you to follow a multilayered approach. You have to deal with several open-source frameworks that are interconnected. For this reason, it is quite challenging to develop an effective security solution, to say the least.
With most of the available data platforms proving to be similar to custom apps, you can leverage this opportunity to use tailored security solutions. However, you will need to have a clear understanding of the system’s architecture so you can develop a solution aimed at addressing all your potential threats.
Secure Distributed Programming Frameworks
Hadoop and related distributed frameworks form the largest percentage of big data networks. Such frameworks are highly targeted for data breaches because they have untrusted mappers.
To keep such frameworks secure, you must develop trust through reliable authentication platforms. Additionally, you should keep predefined safety policies alongside de-identifying the data to make it hard to compromise personal data privacy. Once you have considered all these steps, the next phase should be to use an existing security policy for authorizing access to files. With this approach, you restrict untrusted codes from leaking through the system resources.
Boost Security on Data Storage and Transactions Logs
Cybercriminals can initiate data theft through data storage and transaction logs. One way to prevent data breaches through these avenues is by implementing signed message digests. This strategy includes a digital identifier in every file or digital document.
Another approach that can help you boost the security of data storage and transaction logs is by adopting the secure untrusted data repository technique. This approach identifies all unauthorized modifications to your files that may be orchestrated by harmful server agents. You can, as well, adopt digital encryption techniques, lazy rotation, and key rotation to maximize the safety of your data.
Implement Real-time Security Monitoring
One of the first steps towards securing big data is by being compliant with the necessary security policies and certifications. While you may find it bothersome, being compliant can save your business a lot in terms of data breaches and the associated losses.
Start by implementing real-time security and analytics for every stack level. With such a technique, you can rest assured that all logging events are mined and that there are security controls at different levels of your systems; so no data breach attempts can go unnoticed.
Big data is an important resource for any business but if not well protected, it can have adverse impacts in the end. With the complexity of such data, protecting it requires significant efforts at all levels from monitory to the adoption of customized solutions. Take charge of your big data today by implementing the above strategies!