Report by Arelion
Industrial networks: can AI do the heavy lifting?
Key Findings
Over 90% of manufacturing and automotive leaders display a chronic lack of faith in current AI-based cybersecurity.
90% of leaders in manufacturing and automotive believe that hackers are more likely to trick AI-based cybersecurity tools than those operated by humans.
33% of decision-makers in the automotive sector remain wary, saying that they may implement AI but are currently unsure if such technologies will achieve all the claimed benefits.
When asked where they felt AI will have the biggest impact, 32% of manufacturing leaders primarily say real-time detection and response.
Almost one in four (24 percent) of manufacturing and automotive decision-makers say that they are already facing DDoS attacks specifically engineered to circumvent AI-driven cybersecurity defenses.
Automotive leaders suggest that dynamic and adaptive defense mechanisms, and incident response and management, are the areas where AI will have a big impact, with 28% citing each.
Over half of respondents (57%) in manufacturing and automotive industries believe AI will reduce their network costs over the next three years.
A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.
19% of manufacturing and automotive decision-makers think that AI has been overhyped in the short-term but foresee substantial mid- to long-term benefits.
69% of enterprise network decision-makers in the manufacturing and automotive sectors are comfortable with increased AI integration in their network operations.
Manufacturers (62%) are already deriving more benefits from AI than other sectors.
Over 50% of manufacturing and automotive decision-makers see cybersecurity as their top network challenge.
57% of senior network decision-makers in manufacturing and automotive industries do not believe that AI has been overhyped and state that they are already seeing real benefits across their businesses.
Across both sectors (manufacturing and automotive), 70% of respondents expect DDoS attack mitigation to be largely driven by AI (as opposed to humans) within four years.
A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.