Webinar Description
Key Takeaways
- Explores the intersection of AI, operational technology, and cybersecurity in manufacturing
- Addresses the challenges of securing physical AI systems as IT and OT environments converge
- Highlights strategies for regulatory compliance, including NIS2 governance
- Showcases integrated approaches to threat detection and response across complex manufacturing environments
As artificial intelligence transforms manufacturing across EMEA, the integration of intelligent systems into physical operations is accelerating. Robotics, autonomous assembly lines, and connected machinery are reshaping production, but this rapid evolution is introducing new layers of cyber risk that traditional security frameworks struggle to address.
AI’s Expanding Role in Manufacturing
Manufacturers are increasingly deploying AI-driven solutions to automate and optimize everything from warehouse logistics to real-time process control. These advancements are not confined to software; intelligence is now embedded directly into physical assets, creating a dynamic and adaptive production environment. However, as operational technology (OT) and information technology (IT) systems become more interconnected, the attack surface grows, exposing critical infrastructure to sophisticated cyber threats.
Cybersecurity Challenges in Converged Environments
The convergence of IT and OT environments presents unique security challenges. Legacy security measures, designed for isolated systems, are often inadequate for today’s interconnected manufacturing operations. Manufacturers face mounting pressure to achieve comprehensive asset visibility, maintain compliance with evolving regulations, and build resilience into their security architecture. The introduction of NIS2 governance and the proliferation of IoT devices further complicate the landscape, demanding a more integrated and adaptive approach to risk management.
Building Resilience Through Integrated Security
This webinar brings together industry experts to explore practical strategies for securing physical AI in manufacturing. The discussion will focus on three core capabilities: achieving full visibility across OT, IoT, and building systems; accelerating regulatory compliance with a focus on NIS2 readiness; and unifying threat detection, investigation, and automated response through an intelligence-driven security operations center (SOC). Attendees will gain insight into how cloud-powered infrastructure can scale security efforts and how integrated solutions can help manufacturers embrace AI securely and at scale.
Industry Relevance and Emerging Trends
The operational and market implications of securing physical AI are significant. As manufacturers pursue digital transformation, the ability to safeguard connected assets and maintain regulatory compliance is becoming a competitive differentiator. The session will address the practical realities of implementing security in complex environments, highlighting both the challenges and the opportunities that come with the next wave of industrial innovation.