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Autonomous vehicles. Predictive maintenance. Personalised in-car experiences. As vehicles become more software-defined, generative AI is emerging as a pivotal technology shaping the future of mobility.

Join us at CES 2024 for an insightful panel discussion exploring the multifaceted impact of generative AI across the automotive landscape.
This 30-minute panel provides unique insights from industry leaders on how generative AI is transforming connected, electric, and autonomous vehicles across critical domains.
Event Details:
Date & Time: Wednesday, January 10, 2024, 1pm – 1:30pm
Location: LVCC, West Hall, Booth #7216
The Panelists:
Dvir Reznik: VP Marketing, C2A Security (Moderator)
Andreas Herzig: Partner, Automotive Lead, Global Risk Advisory Practice, Deloitte
Roy Fridman: CEO, C2A Security
Alex Roy: Founder, Johnson & Roy Advisors Host, The Autonocast
Chris Clark: Solutions Architect, Automotive Software & Security, Synopsys
Key Discussion Points:
Cybersecurity challenges and opportunities with generative AI integration
In-vehicle personalisation, conversational AI, and emotion-aware systems
Generative design for agile, sustainable vehicle development
Enhancing active and passive safety through predictive analytics and more!
Attend This Session To:
Learn about the future of mobility shaped by AI capabilities
Understand the role of generative AI in design, safety, cybersecurity and in-vehicle experiences
Gain perspectives on ethical considerations surrounding automotive AI systems
Hear real-world examples and use cases applying generative AI innovations
Register now to reserve your spot at LVCC West Hall, Booth #7216.
Registration Link: CES 2024: Generative AI @ Mobility · Luma
We look forward to seeing you in Las Vegas!
Dynamic threat modeling and risk assessment aligned with global regulations
LLM-agnostic generative AI layer powering automation across every module
Aggregated threat feed contextualized against your actual products
Generate, manage, and triage all BOMs and vulnerabilities across the lifecycle
Quantitative optimization of mitigation strategy and security control allocation
Configurable dashboards and reports across every EVSec data layer
Extract software composition and risk from firmware and binaries without source code
Optimized anomaly detection for Ethernet and CAN, plus ECU runtime protection
Quantify and manage cybersecurity risk for products operating in the field
Enrich SOC events with deep product and architecture context
Context-driven test and validation with intelligent fuzzing, integrated into CI/CD
AI-powered static analysis integrated into CI/CD with reduced false positives
Foundational layer: cyber model, workspaces, and integration backbone to DevOps toolchain
Out-of-the-box and customizable workflows for regulatory and security processes
Centralized compliance management with evidence generated from live data