20% of incidents in the Automotive and Smart Mobility are massive-scale events.

71% of incidents in the Automotive and Smart Mobility ecosystem are attributed to black hat actors, up from 65% in 2024.

67% of incidents in the Automotive and Smart Mobility involve telematics and cloud systems as attack vectors.

68% of incidents in the Automotive and Smart Mobility involve data and privacy breaches.

61% of incidents in the Automotive and Smart Mobility have the potential to impact thousands to millions of mobility assets.

92% of automotive cyber attacks are conducted remotely, of which 86% require no physical proximity to vehicles and systems.

34% of incidents in the Automotive and Smart Mobility focus on business and operational disruption.

44% of attacks in the Automotive and Smart Mobility ecosystem are ransomware-related, more than double the volume in 2024.

Sectors like social media (28%), hospitality (22%), and automotive (13%) face a steeper path to consumer confidence regarding data trust

A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.

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.

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.

Over 50% of manufacturing and automotive decision-makers see cybersecurity as their top network challenge.