Value is inversely proportional to security: large data or risk

For most enterprises, big data has become the decisive force of the war, and the security risk is more prominent. The enterprise has collected and stored all the data, what should they do next? How do they protect this data? And most importantly, how can they safely and legitimately use the data? Whether it is from the Enterprise storage strategy and environment, or from the point of view of data and storage operation, the "management risk" brought by large data is not only becoming more and more prominent, but if it cannot be solved properly, it will surely cause the terrible consequence of "big data is the big risk".

From the point of view of information security, the problems surrounding large data mainly focus on the following five aspects:

1. Network security

As online transactions, online conversations, online interactions, and more data are on the line, hackers are more motivated than ever to commit their crimes. Today's hackers are more organized, more professional, criminal tools are more powerful, the modus operandi is endless. Compared with the previous one-time data leakage or hacking, the data once leaked, to the entire enterprise can be said to be a careless full of losses, not only will lead to damage to the reputation, resulting in huge economic loss, serious also to bear legal responsibility. So in the big data age, the resilience of the network and the defensive strategy can be said to be critical.

2. Cloud Data

At the moment, there is little pressure on companies to quickly adopt and implement new technologies such as cloud services, as they can lead to unpredictable risks and unintended consequences. And, Cloud http://www.aliyun.com/zixun/aggregation/14294.html "> 's big Data is an attractive target for hackers to get information, So it puts forward a higher requirement for the enterprise to make the safe and correct cloud computing purchase strategy.

3. Consumption

As we all know, data collection, storage, access, transmission is necessary to rely on mobile devices, so the advent of the era of large data also led to the surge of mobile devices. With the rise of the BYOD (bring your own device), more and more employees are working with their mobile devices. There is no denying that, BYOD indeed for people's work has brought convenience, but also to help enterprises save a lot of money, but also to the enterprise has brought greater security risks. Once upon a time, handheld devices were regarded as the perfect springboard for hacking into the intranet, so business management and ensuring the safety of employees ' personal devices also increased the difficulty.

4. Interconnected supply chains

Each enterprise is part of a complex, globalized, interdependent supply chain, and the supply chain is likely to be the weakest link. Information links the supply chain closely, from simple data to trade secrets to intellectual property, and information leaks can lead to reputational damage, economic loss, and even legal sanctions. The importance of information security is self-evident, and it plays an important role in coordinating business relations between the contracting and supplying of enterprises.

5. Privacy

With the increasing volume of data generated, stored and analyzed, privacy issues will become more prominent in the coming years. So the new data protection requirements, as well as legislative and regulatory improvements, should be put on the agenda.

Aside from the above mentioned issues, data aggregation and large data analysis is like a treasure trove of corporate marketing intelligence. Targeting customers based on past purchases, emotions, and previous personal preferences is definitely the right thing for marketers to do. But business leaders who are eager to adopt new technologies for business reasons will be advised to understand legal and other limitations first. These restrictions may involve multiple jurisdictions and, in addition, they should implement some privacy best practices and design them as analytical procedures to increase transparency and accountability, And the impact of big data on people and technology should not be overlooked.

Clearly, ensuring the security of data entry and large data exports is a daunting challenge that affects not only potential business activities and opportunities, but also far-reaching legal implications. We should remain agile and make appropriate changes to the regulatory rules before the problem arises, rather than waiting for the problem to be reversed.

Of course, everything is still in the early stages, and there is not much external demand to enforce the integrity of the information. However, the size of the data processed by the enterprise is still growing, the large data analysis makes business decisions closer to the original data, and the quality of the information becomes increasingly important. If the same complex analysis can be applied to relevant security data, large data can even be used to improve information security.

While these solutions are currently difficult to popularize, they are being used for fraud prevention, network security detection, social analysis, and multi-channel real-time monitoring.

In general, large data should be said to have considerable value, but at the same time it has huge security risks, once fall into the hands of illegal molecules, enterprises and individuals will inevitably cause huge losses. In a word, the world is fair, and income is proportional to risk.

(Responsible editor: Lu Guang)