Conference Description
Key Takeaways
- Focuses on the intersection of Artificial Intelligence, Industrial IoT, and cybersecurity
- Explores security, privacy, and resilience in AIoT and cyber-physical systems
- Highlights emerging research on adversarial machine learning, federated learning, and applied cryptography
- Brings together academic and industry experts for collaborative discussion
- Addresses operational challenges in securing intelligent, autonomous, and adaptive industrial systems
The 8th International Workshop on Artificial Intelligence and Industrial IoT Security (AIoTS 2026) convenes researchers and professionals at the forefront of AI-driven security for industrial systems. As industries increasingly integrate AI with the Industrial Internet of Things (IIoT), the need for robust, trustworthy, and resilient security frameworks has never been more pressing. This workshop serves as a platform for sharing new research, discussing operational challenges, and fostering collaboration across academia and industry.
Industry Context: Why AIoT Security Matters
Industrial environments are undergoing rapid transformation as AI technologies become embedded within IIoT and cyber-physical systems. These intelligent, autonomous, and adaptive systems promise significant operational efficiencies and new capabilities. However, their complexity introduces new vulnerabilities and attack surfaces, making security and privacy critical concerns for organizations deploying AIoT solutions.
AIoTS 2026 addresses these challenges by focusing on the intersection of AI, IIoT, and cybersecurity. The workshop provides a venue for examining both the opportunities and the risks that arise as AI becomes integral to industrial operations.
Discussion Themes and Research Focus
Participants engage with a range of topics central to the future of secure industrial systems. Key areas of discussion include:
- Security and privacy in AI and IIoT/CPS environments
- Formal analysis of system resilience and risk management
- Governance frameworks for AIoT deployments
- AI-assisted approaches to critical infrastructure protection
- Adversarial machine learning and federated learning security
- Threat detection, prevention, and response using AI
- Applied cryptography and blockchain for trustworthy systems
- Embedded systems security and privacy-preserving machine learning
- Cyber threat intelligence tailored to AI and IIoT/CPS
These topics reflect the evolving landscape of industrial cybersecurity, where traditional approaches are being re-examined in light of AI’s growing influence. The workshop encourages the exchange of ideas on how to build resilient, explainable, and trustworthy AIoT infrastructures.
Audience and Community
AIoTS 2026 attracts a diverse audience of academic researchers, industry experts, and technical leaders. Attendees include university faculty, PhD students, security engineers, data scientists, and R&D professionals working on the deployment and security of AIoT systems. The event’s collaborative environment supports knowledge sharing and the development of new research partnerships.
Operational and Research Challenges
Securing AIoT systems presents unique challenges. The integration of AI with IIoT and CPS introduces complex threat models, including adversarial attacks on machine learning models and privacy risks in federated learning environments. Ensuring the integrity, reliability, and explainability of these systems is a central concern for both researchers and practitioners.
The workshop provides a forum for addressing these issues, with discussions ranging from technical solutions in applied cryptography to broader governance and risk management strategies. By bringing together experts from multiple disciplines, AIoTS 2026 aims to advance the state of the art in industrial cybersecurity.
Format and Experience
Held in conjunction with the ACNS 2026 conference, the workshop features paper presentations, interactive Q&A sessions, and in-depth academic discussions. The in-person format encourages direct engagement and the exchange of ideas among participants, supporting both research dissemination and community building within this specialized field.