Whenever a report of these characteristics comes to my hands, like the one I’m going to talk about, I think the same. It is done by the company in question to ‘sell’ its capabilities and, of course, try to generate more business. In this case, Capgemini asked about 850 senior executives of companies from seven sectors – consumer, retail, banking, insurance, automotive, utilities and telecommunications – about cybersecurity and artificial intelligence (AI) with offices in Germany, Australia, Spain, States United, France, Italy, Netherlands, United Kingdom, Sweden and India. A fifth of the executives was technology director of information (CIO) and one in ten, directors of information security (CISO) in their respective companies. The Capgemini Research Institute also conducted in-depth interviews with leading representatives of the business and academic world about the current situation and the impact of AI in the field of cybersecurity.
The result? Companies are increasing the pace of investment in AI systems as a defence against the next generation of cyberattacks. Two thirds (69%) of companies recognize that they will not be able to respond to critical threats without artificial intelligence. With an increasing number of devices for end-users, networks and user interfaces as a result of advances in the cloud, the internet of things (IoT), 5G and conversational interface technologies, organizations face the urgent need to continuously expand and improve your cybersecurity system by using the best firewall .
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. In addition, the type of cyberattacks that require immediate intervention or that cannot be solved quickly enough by cyber-analysts has grown considerably.
Specifically, cyber-attacks affecting applications subject to temporary requirements are detailed. 42% answer that the incidents have increased. On average, the type of these incidents has grown by 16%; and automated attacks, at speeds that only one machine can reach, that mutate at a rate that cannot be neutralized by traditional response systems (43% declare an increase in attacks with this speed, and in turn, these offensives have grown a 15% on average
Given 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 has experienced a cybersecurity gap 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 conducting use case trials for artificial intelligence in cybersecurity. Only one in five companies used AI in the cybersecurity area 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 important 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 in transforming the cases of use of proof of concept into a complete deployment. at all levels of the organization. 69% of respondents 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 infrastructures, data systems and context of current applications. While most managers replied that knows what he wants to achieve with cybersecurity based on IA, only half (54%) identified data sets required for operating the algorithms of artificial intelligence.