Bidirectional integration connects automotive vulnerability intelligence with system-level risk engineering, bringing Live TARA to automotive risk modeling.
The VicOne Radeis Extension for NVIDIA Isaac Sim™ lets robotics teams apply curated cyber-safety attack scenarios to their own robot models and identify potential behavior changes before deployment.
Digital twin CTF challenge helps robotics makers and operators identify cyber-to-safety risks through Physical AI security scenarios before deployment.
As AI-driven robots enter critical environments, the collaboration brings cybersecurity into mission readiness, from pre-deployment validation to field visibility and continuous monitoring.
The collaboration connects component-level vulnerability detection to live TARA workflows, triggering reassessment of affected assets, attack paths, and compliance documentation when supplier risks change.
Collaboration between two companies brings integrated cybersecurity toolset and AI protection capabilities to Intellias Automotive Technology Platform – IntelliKit
VicOne and Trustonic expand their partnership with a new IDPS + TEE + Edge AI solution for ECU-level automotive cybersecurity in software-defined vehicles.
JRC Mobility has adopted VicOne’s automotive SBOM management and vulnerability mitigation tool, xZETA. By leveraging this solution, the company achieved compliance with the European RED and EN18031 regulations within a short timeframe and significantly reduced verification man-hours compared to manual processes.
Automotive cyber incidents tripled in 2025. New data shows automotive cyber risk now spans vehicles, cloud, and enterprise IT, reshaping governance priorities.
New joint research from VicOne’s LAB R7 and DeCloak Intelligences will be demonstrated live at CES 2026, revealing why privacy and cybersecurity visibility must converge in real-world patrol deployments.
Showcasing automotive-grade AI security designed to protect next-generation, AI-driven intelligence cockpits
The world’s largest zero-day vulnerability discovery contest shines a light on the growing cybersecurity challenges facing software-defined vehicles and EV charging ecosystems.
Comprehensive protection from system to model layer tackles rising privacy and cybersecurity risks