Two out of three organizations plan to deploy AI by 2020 to bolster their defenses
Businesses are increasing the pace of investment in AI systems to defend against the next generation of cyberattacks, a new study from the Capgemini Research Institute has found.
Two thirds (69%) of organizations acknowledge that they will not be able to respond to critical threats without AI.
With the number of end-user devices, networks, and user interfaces growing as a result of advances in the cloud, IoT, 5G and conversational interface technologies, organizations face an urgent need to continually ramp up and improve their cybersecurity.
The “Reinventing Cybersecurity with Artificial Intelligence: the new frontier in digital security” study surveyed 850 senior IT executives from IT information security, cybersecurity and IT operations across 10 countries and seven business sectors, and conducted in-depth interviews with industry experts, cybersecurity startups and academics.
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.
Geert van der Linden, Cybersecurity Business Lead at Capgemini Group says “Organizations are facing an unparalleled volume and complexity of cyber threats and have woken up to the importance of AI as the first line of defense. As cybersecurity analysts are overwhelmed, close to a quarter of them declaring they are not able to successfully investigate all identified incidents, it is critical for organizations to increase investment and focus on the business benefits that AI can bring in terms of bolstering their cybersecurity.”
However, there are significant barriers to implementing AI at scale. The number-one challenge for implementing AI for cybersecurity is a lack of understanding of how to scale use cases from proof of concept to full-scale deployment. 69% of those surveyed admitted that they struggled in this area.