·The privacy challenges of a global enterprise

·Governance frameworks that guide data movement

·Operationalizing data security in the platforms

·Collaborating safely inside Stellantis

·AI-driven context unifies data for dynamic risk visibility

·Explainable automation accelerates delivery, cuts costs, and ensures lifecycle compliance

·Introduction of the Software République \"Detect and Respond\" Initiative

·Integrated On-Board & Off-Board AI for Real-Time Detection of Intrusions

·With the widespread of AD/ADAS, smart cockpits and AI, OEMs face strict cybersecurity and data-protection requirement. From the view of OEMs, the key priorities and toughest pain points—rapid technology shifts, compliance upgrading or cultural awareness?

·Understanding the lSO 21434 Framework for Automotive SoCs

·Implementing Security Lifecycle Management in Chip Design

·Navigating Practical Challenges and Certification Pathways

·Intelligent Data Classification and Grading

·Full-Lifecycle Data Management of Automotive

·The Integration of Technology, Ethics, and Compliance

·Continuous TARA Across the Lifecycle: Keeping Pace with Change

·The lmpact of Audit-Ready Traceability, Reproducibility, and Consistency

·Systematically Eliminating Inefficiencies

·Secure Enclave as trust anchor

·Practical deployment of Post-Quantum Crypto

·New security needs for SDVs

·Software-defined vehicles drive higher complexity in automotive cybersecurity

·Real-world compliance goes beyond regulations, impacted by contracts & lifecycle obligations

·Practical principles to align standards, contracts and engineering for sustainable cybersecurity

·Fragmented Maturity Across Automotive Organizations

·Interpreting Gaps Without Forcing Alignment

·From Engineering Reality to Leadership Decisions

·Defining Cyber Risk Ownership and Governance Under NIS2

·Supplier Oversight at Scale: Requirements, Assurance, and Continuous Monitoring

·Why Crypto-Agility Matters for Long-Lived Software-Defined Vehicles

·Building a Risk-Based Migration Roadmap to Post-Quantum Cryptography

·Implementing and Validating PQC in Real-Time Automotive Systems

·Bridging the Gap Between Incident Response Plans and Real-World Execution

·Dynamic Tabletop Exercises: Real-Time Scenario Adaptation Under Pressure

·Key AI-Driven Threats Affecting Autonomous and Connected Vehicles

·How Small Inputs Can Lead to Severe Perception Failures or Model Compromise

·Defensive Approaches and Regulatory Considerations for Trustworthy AI Systems

·Embedding Cybersecurity into System Engineering for Compliance

·Aligning Architecture Design with ISO/SAE 21434 and UN R155

·From Fragmented Activities to a Harmonised Cybersecurity Process