Security and robustness in Artificial Intelligence systems

    Security-and-robustness-in-Artificial-Intelligence-Systems

    Date

    12 June 2026

    Venue

    Bizkaia Aretoa (Av. Abandoibarra, 3) Bilbao

    Time

    9:30 am - 12:30 pm

    When cybersecurity affects the decisions that govern operations

    Artificial Intelligence is already part of industrial, transport and critical operations systems in which it interprets the environment and makes decisions in real time. This leap from controlled environments to physical and operational systems is generating new cybersecurity risks, which are different from the traditional ones and have a direct impact on the operation.

    In these new scenarios, cyber-attacks no longer merely seek to shut down systems or access information, but they aim to manipulate data, models and perception to alter automated decisions without the failure being obvious to human operators or classical monitoring systems.

    Our colleagues, Alberto Miranda and Carmen Palacios, address how the introduction of AI in industrial and transport systems is changing the paradigm of cybersecurity, and why it is now essential to incorporate security, trust and resilience approaches from the design phase and throughout the life-cycle of smart systems.

    Aims of the conference

    • Analyse how AI is transforming cybersecurity risks in industrial and transport environments.
    • Understand why attacks on smart systems may generate silent failures with real operational impact.
    • Learn about real cases of application in industrial and autonomous transport systems.
    • Identify good practices to design secure, reliable and resilient AI systems.
    • Open up reflection on the need to protect not only the systems, but also the automated decisions that govern the operation.

    Key contents

    • The evolution of Artificial Intelligence from data analysis to operational decision-making.
    • The paradigm shift in cybersecurity: from protecting systems and networks to protecting data, models and decisions.
    • New risks in AI-based smart systems: data dependency, low explainability and non-deterministic behaviour.
    • Attacks on AI models and manipulation of perception in physical systems.
    • Real cases in industry and transport in which AI cybersecurity directly affects the operation.
    • Approaches to integrating security, trust and resilience into the design of smart systems.

    Aimed at:

    • Industrial companies already using AI in production processes, robotics or control systems.
    • Manufacturers of machinery and connected digital products.
    • Organisations in the field of transport, logistics and smart mobility.
    • Heads of engineering, operations, innovation and industrial cybersecurity.
    • Professionals interested in understanding the new challenges of cybersecurity in smart systems.

    Upcoming editions

    • Book your place: Alava Technology Park. Hermanos Lumiere, 11 Vitoria-Gasteiz (Alava). Date: 24-06-2026

    Bizkaia Aretoa (Av. Abandoibarra, 3) Bilbao

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