大数据云平台人工智能
While for many business organizations staying competitive mainly required a consistent focus on utilizing innovation and the power of digital transformation, the focus suddenly has shifted towards user experience and security. These days it is more important for enterprises to utilize the latest technologies for delivering standout user experience and maintaining optimum data security. Innovations in design and features now have to cater to these dual objectives.
对于许多保持竞争能力的企业而言，主要需要始终专注于利用创新和数字化转型的力量，但是重点突然转移到了用户体验和安全性上。 如今，对于企业而言，利用最新技术来提供出色的用户体验并保持最佳的数据安全性变得越来越重要。 设计和功能方面的创新现在必须满足这些双重目标。
Particularly, for data security, the latest tech innovations seem to play the most decisive role. The emergence of Artificial Intelligence (AI) and Machine Learning (ML) brought a big impact on app security measures and practices. These two technologies particularly helped enterprises minimizing human errors, hidden fault lines, and covert data breaches that used to represent bigger security threats for applications and software products across the spectrum.
特别是对于数据安全而言，最新的技术创新似乎起着决定性的作用。 人工智能(AI)和机器学习(ML)的出现对应用程序的安全措施和实践产生了很大的影响。 这两种技术特别帮助企业最大程度地减少了人为错误，隐藏的故障线和隐蔽的数据泄露，这些数据过去曾对整个应用程序和软件产品构成更大的安全威胁。
Cloud platforms that are always regarded to be more vulnerable to security threats and issues have particularly been benefited by AI and ML-powered security solutions. AI-based security algorithms for cloud platforms are increasingly playing an elementary role in detecting security threats and data breaches with a grave impact on security.
一直被认为更容易受到安全威胁和问题影响的云平台特别受益于AI和ML支持的安全解决方案。 用于云平台的基于AI的安全算法在检测安全威胁和对安全性有严重影响的数据泄露方面起着越来越重要的作用。
AI for Cloud Computing
云计算人工智能
The global market value of the AI market is increasing by leaps and bounds, and there is no wonder in the fact that a considerable portion of this market value belongs to the AI solutions for cloud computing platforms. The more significant impact of AI for data security largely depends on how it delivers security for cloud platforms. While most estimates and studies figure out the impact of AI on cloud security in billion and trillion-dollar figures, the real impact must be envisaged how the cloud data security achieves maximum value through AI.
人工智能市场的全球市场价值正在飞跃增长，毫无疑问，这一市场价值的很大一部分属于云计算平台的人工智能解决方案。 AI对数据安全性的更重要影响很大程度上取决于它如何为云平台提供安全性。 虽然大多数估算和研究都以数十亿美元和数万亿美元的数字估算了AI对云安全的影响，但必须设想真正的影响是如何通过AI实现云数据安全性实现最大价值。
Let us have a look at the key ways AI is improving data security for cloud-based solutions.
让我们看一下AI改善基于云的解决方案的数据安全性的关键方法。
Improving Data Management with AI
借助AI改善数据管理
For cloud platforms, the primary impact of artificial intelligence tools can be the way they improve data management. The businesses of today across any niche create exponential volume and a wide range of data. Since managing this huge repository of data with the appropriate infrastructure so that enterprises can draw maximum insights and outputs from the data, is extremely becoming difficult, AI-based tools are being looked upon for more advanced solutions.
对于云平台，人工智能工具的主要影响可能是它们改善数据管理的方式。 如今，任何细分市场的企业都可以创建指数级的量和广泛的数据。 由于使用适当的基础架构来管理庞大的数据存储库，以使企业能够从数据中获得最大的洞察力和输出，变得极为困难，因此人们正在寻找基于AI的工具以寻求更高级的解决方案。
AI for cloud computing solutions is already being used to help with the processing, management, and structuring of data. In certain business niches, where thousands of touchpoints generate data throughout the day, and the organizations need to monitor data throughout the process, such AI-based tools play a really important role. For example, in the banking sector, where organizations need to monitor and keep track of thousands of transactions every day, AI-powered data processing for their cloud helps in processing and structuring data in a more useful manner.
用于云计算解决方案的AI已被用于帮助数据的处理，管理和结构化。 在某些业务壁垒中，成千上万的接触点全天生成数据，并且组织需要在整个流程中监视数据，这种基于AI的工具扮演着非常重要的角色。 例如，在银行部门中，组织每天需要监视和跟踪数千笔交易，因此，基于AI的云计算数据处理有助于以更有用的方式处理和构建数据。
The primary efficiency of the AI tool is to streamline the way data is registered, updated, and managed in the process so that the heavy-duty requirements like that of the financial organizations can be fulfilled in respect of real-time processing. From managing loads of diversified data for continuous monitoring to utilizing data for different organizational functions such as marketing, customer service, and supply chain management, AI can play a great role in data processing and data management on the cloud.
AI工具的主要效率是简化流程中数据的注册，更新和管理方式，以便就实时处理而言可以满足像金融组织这样的繁重要求。 从管理各种数据以进行连续监控到将数据用于营销，客户服务和供应链管理等不同的组织功能，人工智能可以在云中的数据处理和数据管理中发挥重要作用。
Cloud-Based App Security
基于云的应用程序安全
To understand the impact of AI on cloud-based data security, we also need to have an understanding of the latest developments that are underway with cloud security. IBM recently came up with IBM Security Connect, which will allow its vendors to utilize the cloud, AI, and machine learning to improve the security of digital apps and software products. The AI-powered predictive analytics of the IBM Security Connect will help to detect any security vulnerabilities and malicious activities and accordingly will help security experts take cognizance of the threat.
要了解AI对基于云的数据安全性的影响，我们还需要了解云安全性正在进行的最新发展。 IBM最近提出了IBM Security Connect，它将允许其供应商利用云，人工智能和机器学习来提高数字应用程序和软件产品的安全性。 IBM Security Connect的由AI驱动的预测分析将有助于检测任何安全漏洞和恶意活动，并因此将帮助安全专家认识到该威胁。
According to IBM, being the first AI-powered security cloud platform developed with open technologies, it provides unprecedented ease and sophistication with a whole array of connected tools and environments. The solution is a classic example of how a whole array of AI and ML-powered security solutions can deliver an integrated security solution for cloud-hosted applications.
IBM表示，这是第一个使用开放技术开发的基于AI的安全性云平台，它通过一系列连接的工具和环境提供了前所未有的便捷性和复杂性。 该解决方案是一个经典示例，说明了由AI和ML支持的整个安全解决方案如何为云托管应用程序提供集成的安全解决方案。
AI and ML for Securing Business Data Through Cloud
通过云保护业务数据的AI和ML
The advancements that we have observed in recent times concerning the data security for cloud-hosted applications have a different approach than the earlier security solutions. While the previous data security solutions were mainly focused on safeguarding applications from malicious attacks and preventing suspicious activities that can have a negative impact on security, present-day AI-powered security solutions focus on preventing security vulnerabilities at a very early stage.
我们最近观察到的有关云托管应用程序的数据安全性方面的进步与早期的安全性解决方案具有不同的方法。 虽然以前的数据安全解决方案主要集中于保护应用程序免受恶意攻击并防止可能对安全性产生负面影响的可疑活动，但当今基于AI的安全性解决方案在很早的阶段就致力于防止安全漏洞。
IBM QRadar is an intelligent advisor solution powered by the IBM Watson that is built to give assistance to enterprises in detecting the security risks and vulnerable areas that are in the making. The solution sends alerts regarding the security compromises that are underway. Such responsive and always-alert mechanisms are helping experts to deal with security threats and attacks with the least response time and almost without any delay.
IBM QRadar是由IBM Watson提供支持的智能顾问解决方案，旨在为企业提供帮助，以发现正在制造的安全风险和易受攻击的区域。 该解决方案会发送有关正在进行的安全威胁的警报。 这种响应Swift且始终保持警惕的机制正在帮助专家以最少的响应时间且几乎没有任何延迟地处理安全威胁和攻击。
AI and ML in App Development
应用开发中的AI和ML
Leveraging artificial intelligence(AI) and machine learning(ML) security of mobile apps with numerous algorithms bridges in the development process that are used by app developers India majorly across the world. Furthermore, because of this vulnerability mobile app navigation, and user interface becomes more user friendly and enhances its overall performance.
利用移动应用程序的人工智能(AI)和机器学习(ML)的安全性，在开发过程中使用众多算法桥梁，印度的应用程序开发人员主要在世界各地使用这些桥梁。 此外，由于此漏洞，移动应用程序导航和用户界面变得更加用户友好，并增强了其总体性能。
Conclusion
结论
Finally, we must remember that the AI and machine learning-based security solutions for cloud platforms are already in the making, and as of now, only a handful of progress is made, and there is a lot to achieve in the time to come. As most apps are now being hosted on the cloud, intelligent and responsive data security for cloud platforms is increasingly becoming crucial.
最后，我们必须记住，针对云平台的基于AI和机器学习的安全解决方案已经在酝酿之中，到目前为止，仅取得了很少的进展，并且在未来还有很多事情要做。 由于现在大多数应用程序都托管在云上，因此云平台的智能和响应式数据安全性变得越来越重要。
Author Bio
作者简介
Brian Walter is a senior mobile app developer at We App IT — mobile app development Denmark offers various mobile app development services. He has 6+ years of experience in the IT industry and holds expertise in android & iOS App Development. Apart from his professional life, he loves to share his ideas, experience, and thoughts on different technologies by writing an informative article.
Brian Walter是We App IT的高级移动应用程序开发人员-移动应用程序开发丹麦提供各种移动应用程序开发服务。 他在IT行业拥有6年以上的经验，并拥有android和iOS App开发方面的专业知识。 除了职业生涯，他还喜欢写一篇翔实的文章，分享他对不同技术的想法，经验和想法。
翻译自: https://productcoalition.com/the-role-of-ai-in-improving-the-data-security-for-cloud-platforms-23a3bc5f169b
大数据云平台人工智能