Big data is a double-edged sword, opportunities and risks coexist?

For most organizations, big data has become a decisive force in the battlefield, and with it the security risks. With all the data organizations have collected and stored, what do they do next? How do they protect that data? And most importantly, how do they utilize that data safely and legally?

Both from the perspective of enterprise storage strategy and environment, as well as from the perspective of data and storage operations, the "management risk" of big data is not only becoming more and more prominent, but also, if not properly resolved, will surely result in the terrible consequences of "big data is big risk! "The terrible consequences.

From the point of view of information security, the problems surrounding big data are mainly focused on the following five aspects:1. Network security

With online transactions, online conversations, and online interactions, there is more and more online data, and hackers are more motivated to commit crimes than ever before. Today's hackers are more organized, more professional, their tools of the trade are more powerful, and their methods of operation are endless. Compared with the previous one-time data leakage or hacking incident of small, now once the data leakage, the whole enterprise can be said to be a careless full plate of loss, will not only lead to reputation damage, causing huge economic losses, serious and also bear legal responsibility. So in the era of big data, the network's ability to recover as well as preventive strategies can be said to be crucial.

2. Cloud data

At present, there is still a lot of pressure on organizations to quickly adopt and implement new technologies such as cloud services, which can bring unforeseen risks and unintended consequences. Moreover, big data in the cloud is an attractive target for hackers to gain access to, so this places a higher demand on organizations to develop secure and correct cloud purchasing strategies.

3. Consumerization

It is well known that the collection, storage, access, and transmission of data are indispensable with the help of mobile devices, so the advent of the era of big data has also led to a surge in mobile devices. Along with this comes the rise of the BYOD (bring your own device) trend, where more and more employees are bringing their own mobile devices to the office. While BYOD has undeniably brought convenience to people's work and helped companies save a lot of money, it has also brought greater security risks to organizations. Once upon a time, handheld devices were used as a great springboard for hackers to break into the intranet, so it has become correspondingly more difficult for organizations to manage and ensure the security of employees' personal devices.

4. Interconnected supply chains

Every enterprise is part of a complex, global, interdependent supply chain, and the supply chain is probably the weakest link. Information ties the supply chain together, from simple data to trade secrets to intellectual property, and leakage of information can lead to reputational damage, financial loss, and even legal sanctions. The importance of information security cannot be overstated, and it plays a pivotal role in coordinating business relationships such as contracting and supplying between companies.

5. Privacy

With the increasing volume of data being generated, stored, and analyzed, privacy issues will become more and more prominent in the coming years. That's why new data protection requirements and improvements in legislatures and regulators should be on the agenda.

Beyond the issues mentioned above, data aggregation and big data analytics are like a treasure trove of marketing intelligence for businesses. Targeting users based on their past purchases, emotions, and prior personal preferences is a perfect fit for marketers. But business leaders who are eager to adopt new technologies for business reasons will be advised to first go through the legal and other restrictions, which may involve multiple jurisdictions; in addition, they should implement some privacy best practices and design them into their analytics programs, increase transparency and enforce accountability, and should not lose sight of the impact that big data has on people, and on technology.

It's clear that securing the input of data as well as the output of big data is a daunting challenge that not only affects potential business activities and opportunities, but also has far-reaching legal implications. We should remain agile and make appropriate changes to the regulatory rules before problems arise, rather than sitting back and waiting for problems to arise before mending our ways.

Of course, everything is still in its infancy, and there aren't many external requirements in place to compel companies to ensure the integrity of their information. However, the scale of the data that organizations process every day continues to grow, and as big data analytics moves business decisions closer and closer to native data, the quality of the information becomes ever more important. Big data can even be used to improve information security if the same sophisticated analytics can be applied to relevant security data.

While these solutions are difficult to generalize at the moment, they are being used in conjunction with big data analytics in areas such as fraud prevention, cybersecurity detection, social analytics, and multichannel real-time monitoring.

Overall, big data has considerable value, but at the same time it poses a huge security risk, and once it falls into the wrong hands, it can cause huge losses for businesses and individuals. To paraphrase, the world is very fair, income and risk are directly proportional.

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