This blog explores how RAMN, especially when paired with the CARLA simulator, enables secure, hands-on experimentation and simulation in automotive embedded systems and cybersecurity research.
VicOne shares key insights from its Q3 2025 Situational Awareness Report on cybersecurity in the automotive, transportation, and logistics sectors.
We examine one of the challenges at the SPIRITCYBER Automotive CTF 2025, where a simulated CAN injection attack exposes security gaps in modern connected vehicles.
Pwn2Own Automotive returns to Tokyo in January 2026 for its third edition. Discover the rules, targets, and what’s new in the world’s largest automotive-focused ethical hacking contest.
VicOne’s xCarbon Edge AI, powered by SOAFEE architecture, transforms AI-driven vehicle protection by boosting efficiency, optimizing cloud costs, and lowering hardware dependency.
While ISO 15118 promises smarter, more secure electric vehicle (EV) charging, it also introduces new risks. Discover what it takes to secure EV charging in our latest research.
We examine the Jaguar Land Rover cyber incident, emphasizing how the automotive industry can defend against similar supply chain attacks.
This blog offers key insights from our latest research paper, “Insuring the Future of Mobility”, highlighting why cybersecurity is the essential yet often overlooked element in the evolving automotive insurance industry.
The recently announced CCC Digital Key 4.0 marks a pivotal step in balancing innovation and security for connected vehicles. We explore its new features, broader trends, and its impacts on automotive cybersecurity.
From August 22 to September 1, VicOne and Block Harbor co-hosted the 2025 Global Vehicle Cybersecurity Competition (VCC), bringing together nearly 500 individuals of all skill levels, pursuing careers in automotive cybersecurity from around the world.
A bus hacking demo revealed how attackers could use a bus’s guest Wi-Fi to access and compromise critical systems, underscoring the need for stronger automotive cybersecurity in smart transit systems.
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In our previous analysis, we argued that GenAI isn’t just a tool, it’s a living risk embedded in your automotive supply chain. We highlighted how AI models introduce unseen, evolving security risks at every stage of the AI lifecycle. But as the industry shifts toward GenAI-enabled, software-defined vehicles (SDVs), another powerful technology is rising fast—Agentic AI.
In this blog, we present a systematic OSINT-driven methodology, one that aligns with the Auto-ISAC Automotive Threat Matrix (ATM) and is tailored for automotive threat intelligence. This approach enables security researchers and car manufacturers to map the continually expanding attack surface of connected vehicles.