The 2026 Report Highlights

AI is reshaping the Automotive cybersecurity attack surface

The rapid adoption of AI, including Generative AI and large language models, is fundamentally changing how cybersecurity risks emerge in Automotive and Smart Mobility environments. AI-driven systems now span vehicles, cloud platforms, backend services, and APIs, creating dynamic, context-aware attack paths that evolve continuously.

Ransom related incidents surged

Ransom attacks intensified significantly in 2025, building on trends observed in prior years but growing materially in scale and operational impact. Ransom related incidents accounted for 44% of all reported incidents, doubling in number vs. 2024 and reflecting the continued industrialization of cybercrime. As organized threat actors increasingly exploited AI-driven backend platforms and APIs, ransom incidents shifted from isolated disruptions to ecosystem-level events capable of impacting operations, services, and mobility data at scale.

Deep and dark web activities are reshaping the threat landscape

Deep and dark web ecosystems have become a critical force in Automotive and Smart Mobility cybersecurity risk, enabling attackers to coordinate, monetize, and amplify attacks at scale. Organized threat actors increasingly leverage specalized forums, leak sites, and messaging channels to trade access, exploit backend systems and APIs, and operationalize ransomware campaigns. This activity accelerates the spread of disruption across vehicles, cloud platforms, and third-party services, turning vulnerabilities into ecosystem-level risk.