Reynaldo Gonzalez

As AI, automation, and agent based tools move deeper into industrial operations, cybersecurity must evolve from a late stage check to a foundational design principle. This workshop focuses on the practical steps required to embed security into AI initiatives from day one, establish guardrails before experimentation reaches production systems, and build shared accountability across IT, OT, and innovation teams. Participants will explore emerging AI driven risks, cultural barriers that slow adoption, and the ways AI itself can strengthen cyber defenses through detection, automation, and reduced human error.

• Understand why early stage AI projects often overlook cybersecurity and learn practical methods to make secure by design the default

• Identify the minimum controls and guardrails required before AI or agentic tools interact with production systems or OT environments

• Explore strategies for improving communication and trust between IT, OT, and innovation teams to accelerate secure AI adoption

• Learn how to build shared accountability models so security becomes an enabler rather than a blocker

• Examine the most misunderstood cyber risks emerging from generative AI and autonomous agents in industrial workflows

• Discover where AI can genuinely strengthen cybersecurity through improved detection, automated response, and reduced human error