Data will be one of the core competitiveness of banks in the future, which has become the knowledge of the banking industry. For banks, only with strong "big data" processing ability can we maximize the value of bank data applications. In the era of bank informationization and networking, how to use the advantages of big data to strengthen the internal control of banking institutions and prevent and resolve the risk of leakage of sensitive data information is the focus and difficulty of current bank information security.
Is Big Data Life or Death?
According to McKinsey's report "The Next Frontier of Big Data", the comprehensive value potential of big data applications in banks is very high in terms of its comprehensive value potential dimension and average data volume. It is one of the hottest industries that generate big data after the Internet and operators, and it has become a fertile ground for big data applications.
Big data is huge, diverse and instant, and can be obtained from mobile devices, social applications, web pages and third parties, including credit consumption data. It is the key to achieve more economic returns to make rational use of big data and meet the current business needs of banks with correct quantitative models and analytical methods. The effective integration of massive fragmented data collected by big data technology can save costs and improve efficiency in market analysis, customer service, customer research, product development and product testing.
Without data security, there is no information security, and data security management must run through the whole process of data life cycle. There are operation and maintenance risks and operational risks in big data applications, such as data loss, data leakage, illegal data tampering and information asymmetry during data integration. And the latter is such as corporate reputation risk, operational risk after data is obtained by rivals, etc. Therefore, data management and control must be strengthened. Although most banking enterprises have been systematically building information security for many years, they still lack measures related to content identification to cooperate with protection. At present, the data content protection layer faces a series of problems, such as difficult identification, difficult positioning and difficult protection.
Wanda in Ming Dynasty —— Realizing the Security Management of Bank Sensitive Data
As a leading provider of intranet security, data security and mobile security solutions in China, Beijing Ming Dynasty Wanda takes bank data security as the core, based on self-controlled domestic cryptographic algorithms, and takes "security service" as the concept to tailor the overall data security solutions for bank customers. At the same time, combined with the banking application scenarios, bank security management and characteristic requirements, a security service system is established to realize the security control of sensitive bank data from generation, storage, use, circulation, tracking to destruction.
The company has been deeply involved in the financial industry for many years, and has successfully served many customers such as CDB, Bank of China, China Everbright Bank, China CITIC Bank and Agricultural Bank of China by virtue of its high-quality products, professional services and good reputation. In the era of big data, Wanda in Ming Dynasty will continue to adhere to the concept of "safe service business" and continue to contribute to the construction of intelligent data security management in banks.
The above is what Bian Xiao shared for you about the future of big data+bank data security. For more information, you can pay attention to Global Ivy and share more dry goods.