As IoT adoption in manufacturing continues to rise, so do cybersecurity risks. From connected production lines to remote monitoring systems, every IoT-enabled device presents a potential attack surface. This session explores the key cybersecurity challenges in industrial IoT, best practices for mitigating risks, and actionable strategies to protect critical manufacturing infrastructure from cyber threats.

• What are the biggest cybersecurity challenges in securing IoT devices within industrial environments?
• How can manufacturers implement robust security frameworks to protect IoT ecosystems?
• What are the key takeaways from real-world incidents and best practices in IoT cybersecurity?

• Data Management: What are the best practices for streamlining data management from cloud to edge in a manufacturing environment?
• Infrastructure Alignment: How can manufacturers align their infrastructure and security strategies to maximize the impact of AI investments?
• IT and OT Collaboration: What are the key challenges and solutions for fostering collaboration between IT and OT teams in the context of AI implementation?
• Security Enhancements: How can manufacturers advance security across diverse environments without requiring new skills or extensive retraining?
• Partner Ecosystem: How can partnerships, such as those with standards organizations and initiatives like the Linux Project’s Margo, support the scalability and interoperability of AI solutions in manufacturing?