在今天的商业世界里, ever-evolving and ever-changing 技术 is presented to us after long research, 学习和测试. While the digitization of business processes and database-driven operations increase the efficiency of organizations, 它们还带来了新的、多样化的风险. Information 技术 (IT) risk management is a strategy implemented by organizations to identify, 提前分析和管理这些风险. 在当今世界, 创新, 技术, 产品和研究不断增加和多样化, the 风险 that enter our lives along with the innovations are naturally increasing. 正因为如此, 风险管理在资讯科技中的角色, 以及前瞻性风险管理的必要性, 正在增加.
Companies are increasingly forced to store, process and transmit large amounts of data. To do this, they must increase their IT investments and capabilities every day. 敏感信息的安全, 例如客户数据, 金融数据和商业机密, 会影响公司的声誉和业务连续性吗. IT risk management is a critical control point to ensure that this sensitive data is protected from unauthorized access, 数据泄露或恶意攻击. It aims to identify and control potential threats in these areas through risk analysis. IT risk assessment is not limited to information security—risk analysis can be applied to almost any area you can think of.
Reducing 业务连续性 风险 is another area of increasing criticality. Information technologies are vital to the proper execution of business processes and services. 意外事件，如技术故障, 人为错误, cyberattacks or natural disasters are among the factors that increase 业务连续性 风险. IT risk management is one of the most important tools for organizations to identify the necessary measures and plans to minimize such 风险.
新技术带来新风险
New technologies, products, customizations and systems come with many unknowns. Some of these may also pose 风险 and threats to organizations. It is not up to organizations to manage all of these on their own—regulators are trying to control them as well.
Information 技术 is an area in which organizations must comply with certain regulations and industry standards. 资料保护法, customer privacy requirements and industry standards can both constrain and control an organization’s operations. IT risk management helps organizations ensure 合规 and take the necessary steps to avoid potential legal sanctions.
风险管理中的人工智能因素
Artificial intelligence (AI), one of the most popular technologies in today’s business landscape, has started to be used extensively in the field of risk management. IT risk management is an essential tool for organizations to ensure data security, 业务连续性, 合规, 竞争优势和良好的声誉. 随着技术的进步和数字威胁的增加, it is critical for organizations to effectively manage these 风险 to ensure long-term success. Even though regulators are trying to account for the 风险 related to emerging technologies, 主要责任落在机构身上, which have to manage the 风险 from new technologies themselves. Performing a large number of risk analyses for so many needed areas, especially one by one for each system or structure within an area, 给专家团队带来了非常沉重的操作负担. 此时此刻, especially in areas that can be considered more ordinary and routine, leaving the work entirely to AI and leveraging it for complex issues can both speed things up and ensure a more effective execution.
风险分析中使用的数据越多, the more accurate the analysis performed by the machine learning method of AI. 换句话说, 更多的历史信息, 风险, 风险行动计划和相关信息, 结果就会更加一致和可靠. 人工智能为分析提供了独特的机会, especially for routine tasks such as risk analysis of many suppliers. 例如, if the regulation requires risk analysis for all critical suppliers individually and the risk methodology is the same for all suppliers, 让人们做这项工作会让人失去动力. 然而, 如果在这里应用人工智能, it would enable this routine work to be automated to a great extent with AI support. Removing the relevant experts from such routine tasks and directing them to review the results produced by AI will increase job satisfaction and increase the efficiency and quality of the results.
Although the use of AI in IT risk analysis is still very new today, 随着用例和方法的增加, 结果将远远超出预期.
