Big Data Security Challenges: How to Overcome Them

In terms of security, there are numerous challenges that you may encounter, especially in big data. Generally, big data are huge data sets that may be calculated using computers to find out relations, patterns, and trends, primarily which is linked to human interactions and behavior.

Since big data contains huge quantities of personally identifiable information, privacy becomes a major concern. The consequences of security breaches affecting big data can be devastating as it may affect a big group of people. For this reason, not only will the damage be reputational, but there would also be legal ramifications that organizations have to deal with.

Fortunately, there are numerous ways on how to overcome big data security challenges like bypass geo blocking, including the following:

• Implement Endpoint Security

A trusted certificate at every endpoint would ensure that your data stays secured. Extra measures that your organization must use resource testing regularly and enable only the trusted devices to connect to your network via a reliable mobile device management platform.

The challenge is to ensure that all data is valid, especially if your organization uses various data collection technologies and scope of devices. Remember that a lot of input applications and devices are vulnerable to malware and hackers. Intruders may mimic different login IDs and corrupt the system with any false data. So, make sure that your big data solution must be capable of identifying false data and prevent intrusion.

• Prevent Inside Threats

Whether from simply careless or disgruntled employees, one of the big data security challenges faced by business enterprises are countless internal security risks. It's especially challenging in the business world where employees handling the data aren't knowledgeable of the proper security behavior and practices.

To avoid this, educating your employees about passwords, risks of accessing data using public WiFi, and logging off unused computers may benefit your organization in the long run and prevent any possible inside threats.

• Access Control Mechanisms

Another way to overcome big data security challenges is access control mechanisms. Usually, access control has been provided by operating systems or applications that may restrict the access to the information and typically exposes the information if the system or application is breached. Instead of the usual means of protecting data, a great approach is to use encryption that enables decryption authorized by access control policies.

• Monitor and Analyze

One of the best solutions for big data security challenges includes tools for both monitoring and analysis in real-time to raise alerts in case a network intrusion happens. However, this may lead to huge amounts of network data.

The primary goal is to provide a picture of what's currently happening over big networks. Your organization might not also have the resources to analyze and monitor the feedback generated like real threats and false alarms. As a solution, use big data analytics for improved network protection. Moreover, your security logs may be mined for anomalous network connections, which can make it simpler for you to determine actual attacks in comparison to false positives.

• Hire the Right People with Skills and Expertise for Big Data

If you want to overcome big data security challenges successfully, one of the things you should do is to hire the right people with expertise and skills for big data. These people may include data scientists and data analysts.

Providing professional development for big data training for your in-house team may also be a good option. Besides, training your own employees to be big data analysts may help you avoid wasting time and effort in hiring other workers. In addition, you can be assured that they'll remain loyal to your organization after being provided with such unique opportunities. Alternatively, finding big data consultants may come in handy for your organization.

• Manage Your Big Data Growth with New Technologies

With big data, it's not surprising that one of the biggest challenges is to handle the data itself and adjust your organization to its continuous growth. You have to take note that the amount of data in the IT systems continues to increase and the best solution to manage your big data growth is to implement new technologies.

There are numerous new technologies that can be used to secure big data and these include storage technology, business intelligence technology, and deduplication technology. Storage technology is used for structuring big data while business intelligence technology can help analyze data to provide insights and discover patterns. On the contrary, deduplication technology may help in eliminating extra data that's wasting your space and money.

Conclusion

It may be challenging to overcome different big data security issues. However, with the right encryption techniques and hiring professionals like data scientists to handle everything for you, it's not impossible to avoid data loss or data breach. Just make sure to combine it with the right solutions to get real-time insights and perform real-time monitoring whenever you want or wherever you are to ensure the security of your organization's big data.