The new research from Capgemini shows that 69% of organization acknowledge that they wont be able to respond to critical cyber threats without Artificial Intelligence (AI).
This is the reason that business are increasing the pace of investment in AI systems to defend against the next generation of cyberattacks, says the study.
Capgemini Research Institute, titled their research “Reinventing Cybersecurity with Artificial Intelligence,“ surveyed 850 senior executives from IT Information Security, Cybersecurity and IT Operations in seven sectors across 10 countries and spoke in-depth with industry experts and academics. They also analysed 20 use cases of AI in cybersecurity spread across IT, OT, and IoT.
Key findings of the research include:
Over half (56%) of executives say their cybersecurity analysts are overwhelmed by the vast array of data points they need to monitor to detect and prevent intrusion. In addition, the type of cyberattacks that require immediate intervention, or that cannot be remediated quickly enough by cyber analysts, have notably increased, including
Cyberattacks affecting time-sensitive applications (42% saying they had gone up, by an average of 16%).
Automated, machine-speed attacks that mutate at a pace that cannot be neutralized through traditional response systems (43% reported an increase, by an average of 15%).
Facing these new threats, a clear majority of companies (69%) believe they will not be able to respond to cyberattacks without the use of AI, while 61% say they need AI to identify critical threats. One in five executives experienced a cybersecurity breach in 2018, 20% of which cost their organization over $50m.
The research also found that executives are accepting that AI is fundamental to the future of cybersecurity and accelerating the use of AI investment in cyber security.
While a 64% said it lowers the cost of detecting breaches and responding to them by an average of 12%. 74% said it enables a faster response time: reducing time taken to detect threats, remedy breaches and implement patches by 12%.
69% also said AI improves the accuracy of detecting breaches, and 60% said it increases the efficiency of cybersecurity analysts, reducing the time they spend analyzing false positives and improving productivity.
Accordingly, almost half (48%) said that budgets for AI in cybersecurity will increase in FY2020 by nearly a third (29%). In terms of deployment, 73% are testing use cases for AI in cybersecurity. Only one in five organizations used AI pre-2019 but adoption is poised to skyrocket: almost two out of three (63%) organizations plan to deploy AI by 2020 to bolster their defenses.
Challenges to implementing AI at scale:
69% of those surveyed admitted that they struggled, implementing AI for cybersecurity is a lack of understanding of how to scale use cases from proof of concept to full-scale deployment.
50% of the executives surveyed cited integration challenges with their current infrastructure, data systems, and application landscapes. Executives also said they know what they want to achieve from AI in cybersecurity, only half (54%) have identified the data sets required to operationalize AI algorithms.
Anne-Laure Thieullent, AI and Analytics Group Offer Leader at Capgemini concludes “Organizations must first look to address the underlying implementation challenges that are preventing AI from reaching its full potential for cybersecurity.
This means creating a roadmap to address key barriers and focusing on use cases that can be scaled most easily and deliver the best return. Only by taking these steps can organizations equip themselves for the rapidly evolving threat of cyberattacks. By doing so, they will save themselves money, and reduce the likelihood of a devastating data breach.”
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