Whenever a report of these characteristics comes into my hands, as I am going to talk about, I think the same. It is made by the company in question to ‘sell’ its capabilities and, of course, try to generate more business. In this case, Capgemini asked 850 senior managers of companies in seven sectors – consumer products, retail, banking, insurance, automotive, utilities and telecommunications – with offices in Germany, Australia, Spain, United States about cybersecurity and artificial intelligence (AI). United States, France, Italy, Netherlands, United Kingdom, Sweden and India. One fifth of executives were chief information technology officers (CIOs) and one in ten were chief information security officers (CISOs) at their respective companies . The Capgemini Research Institute also conducted in-depth interviews with leading representatives from business and academia about the current state of play and the impact of AI in the field of cybersecurity.
The result? Companies are increasing the pace of investment in AI systems as a defense against the next generation of cyberattacks. Two-thirds (69%) of companies acknowledge that they will not be able to respond to critical threats without artificial intelligence. With an increasing number of end-user devices, networks, and user interfaces as a result of advances in the cloud, the Internet of Things (IoT), 5G, and conversational interface technologies , organizations are faced with the urgent need to continually expand and improve your cybersecurity system.
More attacks, and much faster
“AI-based cybersecurity is essential today,” says the Capgemini study, and more than half (56%) of managers say their cybersecurity analysts are overwhelmed by the immense volume of information units they must monitor to detect and prevent intrusions. Furthermore, the type of cyberattacks that require immediate intervention or that cannot be solved quickly enough by cyber analysts has grown considerably.
Specifically, cyberattacks that affect applications subject to temporary demands are detailed. 42% answered that incidents have increased. On average, the type of these incidents has grown by 16%; and automated attacks, at speeds that only a machine can reach, that mutate at a rate that cannot be neutralized by traditional response systems (43% report an increase in attacks with this speed, and in turn, these offensives have grown by 15% on average.
Faced with these new threats, a clear majority of companies (69%) believe that they will not be able to respond to cyberattacks without the use of AI, and 61% say they need artificial intelligence to identify critical threats. One in five executives experienced a cybersecurity breach in 2018, of which 20% cost their organization more than $ 50 million.
Consequently, about half of the managers asked by Capgemini (48%) answer that the budgets for AI in cybersecurity will increase in 2020 by almost a third (29%). In terms of deployment, 73% are testing use cases for artificial intelligence in cybersecurity. Only one in five companies used AI in the area of cybersecurity before 2019, but a meteoric expansion of its adoption is expected: about two in three (63%) organizations plan to deploy artificial intelligence in 2020 to reinforce their systems of defending.
However, there are significant barriers to the implementation of AI on a general scale. The most important challenge for the implementation of artificial intelligence in the field of cybersecurity is the difficulty to transform the use cases of proofs of concept into a full deployment at all levels of the organization. 69% of those surveyed admit that they are having difficulties in this area.
On the other hand, half of the organizations consulted also point out the problem of integration with their current infrastructures, data systems and application context. While most managers say they know what they want to achieve with AI-based cybersecurity, only half (54%) have identified the data series required to make artificial intelligence algorithms operational.
