Artificial Intelligence

Artificial Intelligence on Data Security: Innovative Technologies and Cloud Services Help Deliver Cybersecurity

Capgemini Research Institute (UK, London) polls more than 850 senior IT security professionals in 10 countries (Australia, France, Germany, India, Italy, NI, IT, IT, July , Spain, Sweden, the United Kingdom, and the United States) and seven business sectors (automotive, banking, consumer and marketing, insurance, retail, telecommunications, and utilities) - to see how relevant and reliable AI technologies today to ensure the organization's integrated security.

Yes, two-thirds of respondents, including company executives, said they would not be able to respond effectively or prevent critical threats without the help of artificial intelligence, and more than 60% of respondents believe that it should be used for this purpose in principle, as the result fully meets expectations .

One of the drivers of the growing popularity of AI in ensuring reliable and secure company operation is the dissemination and widespread availability of various devices, applications and networks for users who can freely enjoy the advances in IoT, 5G and dialog interfaces not only for good purposes. This is why organizations are faced with the urgent need to constantly increase and improve their cybersecurity.

Unfortunately, not everyone today has AI systems in place to protect against cyber-invasion threats. Of all the companies surveyed by the institute, more than half believe that simply cyber-security analysts are no longer enough to make the business feel comfortable. Many professionals simply do not cope with the tasks of detecting and preventing large data sets. The Capgemini poll also found that in every 2018 year, every fifth IT respondent has a cyber security breach, and some such precedents cost millions or even tens of millions of dollars in damage.

Artificial intelligence to help

Despite all the clear concerns about cyberattacks and the ever-increasing ingenuity of hackers to undermine the integrity of companies' databases, many of them still cannot afford to integrate AI technology to combat such cases. At the same time, according to Capgemini, almost two-thirds of those organizations that have implemented such technologies are convinced that AI not only solved their problems in this vein, but even reduced the overall cost and resource cost of detecting and responding to the breach. security. At the same time, three-quarters of those surveyed emphasized that AI made it possible to reduce the response time to any risky situation, which is why it is an extremely profitable and necessary tool. The developers of intelligent security systems themselves argue that smart algorithms will not only improve the accuracy of detection of violations and speed up this process, but also identify directly the violators themselves.

Of course, against the backdrop of such success, it is not surprising that investment in AI in cybersecurity is increasing day by day. Thus, more than half of Capgemini companies surveyed predicted that budgets allocated to the area will increase by almost a third as early as 2020.

According to experts, as cybersecurity analysts are overburdened and do not always have a quick response to information about an incoming problem, it will soon become more difficult to successfully confront the threat due to technology scaling, and therefore the introduction and use of artificial intelligence for this purpose. should think today.

Cloud services as a more secure way to store data

The cloud has long been at the intersection of the most significant technologies that dominate the data management environment, facilitating everything from the deployment of big data to predictive analytics, from cognitive computing applications to borderline computing applications.

Gartner predicts that the global public cloud services market will exceed $ 2019 billion in 200 this year, as the cloud not only strengthens the service-oriented architecture but also transforms data management practices into an entire service-oriented economy.

Thus, when data is critical and one of the key tasks is to protect it, cloud services are best suited for both storing and processing information and for its security. In addition, the scalability of cloud storage is well suited to typical applications based on artificial intelligence and the Internet of Things, and the availability and ability to control data in real time helps prevent any cyberattack as quickly as possible.

The traditional merit of cloud security is its multi-level security method, where organizations can ensure that each level is constantly updated, predicting the likelihood of another possible attack. Often, data can be encrypted and "hidden" as quickly as possible before they can make an attempt.

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