Driving the Future Securely -- An Overview of EV & Connected Vehicle Cybersecurity

• The convergence of EV and telematics systems and their shared cyber-risk profile

• How vehicle electrification changes traditional threat models

• Core pillars of a robust mobility cybersecurity strategy

• The broader socio-economic impacts of vehicle cyber incidents

Navigating Today’s Threat Landscape: EV & CV Attack Vectors

• Top five EV/CV attack vectors observed in recent penetration tests

• How independent researchers are uncovering multi-stage exploits

• The role of the wider mobility ecosystem (chargers, apps, cloud) in introducing risk

• Defensive countermeasures tailored to each attack class

Secure by Design: Building Resilient EV Architectures

• Zonal and domain controller approaches from a security standpoint

• Hardware root-of-trust and secure boot in EV control systems

• Fail-safe mechanisms for detecting and isolating compromised modules

• Balancing security controls with performance, cost, and usability constraints

• Designing security in from Day 1

Over-the-Air Updates & Supply Chain Integrity

• Mapping an end-to-end OTA update workflow with integrated code signing and attestation

• Deploying mechanisms to ensure firmware integrity and authenticity in the field

• Mitigating risks posed by third-party and open-source dependencies

• Establishing rollback and “fail-safe” policies to prevent bricked vehicles

Incident Response & Forensics for EVs

• Incident response playbook specific to EV/CV scenarios

• Instrument vehicles and backend services for effective logging and telemetry

• Forensic extraction from in-vehicle networks and ECUs

• Coordinating with legal, regulatory, and PR stakeholders post-incident

Securing In-Vehicle Networks & Telematics

• Message authentication and anomaly detection on CAN and FlexRay

• Segmenting high-risk domains using automotive Ethernet VLANs and firewalls

• Hardening telematics gateways against protocol-level exploits

• Integrating network-level security with ECU-level protections

AI & Machine Learning for Real-Time Threat Detection

• Appropriate ML algorithms for automotive anomaly detection

• Gathering and curating training data from diverse sensor and network sources

• Model performance under adversarial conditions

• Lightweight inference engines for resource-constrained ECUs

Case Studies & Lessons Learned

• Best practices from recent EV/CV security incidents

• Common organizational pain points in security rollout

• Cross-team collaboration to accelerate remediation

• Translating lessons learned into actionable policy and process improvements

Regulatory & Standards Roadmap

• UNECE WP.29, ISO/SAE 21434, and regional regulations

• Integrating CSMS requirements into existing quality and safety processes

• Future regulatory trends in EV and CV security

• Preparing audit-ready documentation to demonstrate compliance

Roadmap to Resilience: Charting the Next Decade

• Next-gen R&D themes: V2X, zero-trust, quantum-safe cryptography

• Cross-industry collaboration for end-to-end ecosystem security

• Aligning enterprise roadmaps with anticipated regulatory shifts

• Continuous improvement through red-teaming and threat intelligence