Over 90% of manufacturing and automotive leaders display a chronic lack of faith in current AI-based cybersecurity.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotive
90% of leaders in manufacturing and automotive believe that hackers are more likely to trick AI-based cybersecurity tools than those operated by humans.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotiveSecurity tools
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.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIAutomotive
When asked where they felt AI will have the biggest impact, 32% of manufacturing leaders primarily say real-time detection and response.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingThreat detection
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.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotiveDDoS
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.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIAutomotiveIncident response
Over half of respondents (57%) in manufacturing and automotive industries believe AI will reduce their network costs over the next three years.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotive
A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotive
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.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotive
69% of enterprise network decision-makers in the manufacturing and automotive sectors are comfortable with increased AI integration in their network operations.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotive
Manufacturers (62%) are already deriving more benefits from AI than other sectors.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturing
Over 50% of manufacturing and automotive decision-makers see cybersecurity as their top network challenge.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotive
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.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotive
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.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025
AIManufacturingAutomotiveDDoS
A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.
ArelionIndustrial networks: can AI do the heavy lifting?·May 13, 2025