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DASIG Webinar | Leveraging Artificial Intelligence in Automotive Cybersecurity: Insights from ISO/SAE 21434 by Armin Babaei, Cybersecurity Manager

The advent of Artificial Intelligence (AI) has revolutionised various industries, and the automotive sector is no exception. This talk delves into the critical role of AI in enhancing automotive cybersecurity, particularly in the context of the ISO/SAE 21434 standard. ISO/SAE 21434, a comprehensive framework for cybersecurity in the automotive industry, outlines key requirements and guidelines for ensuring the cyber resilience of vehicles.

In this speech, we explore how AI can significantly contribute to meeting and surpassing these requirements. The discussion includes AI’s capability in predictive analytics, which allows for the anticipation and mitigation of potential cyber threats. We also examine AI’s role in continuous monitoring and real-time response, ensuring that automotive systems remain secure even in the face of evolving cyber threats.

Moreover, the speech addresses how AI aids in the automation of complex processes defined in the ISO/SAE 21434 work packages. This includes threat modelling, risk assessment, and incident response, where AI algorithms can enhance efficiency and accuracy. We also consider the ethical implications and challenges associated with integrating AI in automotive cybersecurity, such as data privacy concerns and the need for robust AI governance frameworks.

In conclusion, the speech underscores the transformative potential of AI in bolstering automotive cybersecurity. It highlights the synergy between AI capabilities and the ISO/SAE 21434 standard, offering a roadmap for future developments in this dynamic field. The goal is to foster a deeper understanding of AI’s pivotal role in automotive cybersecurity and encourage the adoption of innovative AI strategies aligned with international standards.

This is an online event.

About the speaker

Armin Babaei is a seasoned cybersecurity manager and expert with over ten years of experience in the automotive and automation industries, complemented by a strong academic background. His PhD research, centred on machine learning attacks on IoT devices, showcases his deep understanding of advanced cybersecurity methodologies and emerging threats in interconnected environments. As a certified AWS Cloud Architect, Babaei brings a comprehensive skill set in cloud infrastructure and security, further enriching his expertise in developing robust cybersecurity strategies and solutions for complex, technology-driven ecosystems.

Babaei’s unique combination of practical industry experience, academic rigor, and cloud architecture proficiency positions him exceptionally well to address and mitigate sophisticated cybersecurity challenges.

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