The intersection of AI & Industrial Controls Systems Cybersecurity Best Practices

This panel will focus on the following:

People often associate AI in cybersecurity with network anomaly detection tools. Are there other use cases for AI and machine learning in OT cyber security? Isn’t AI expensive? How do I justify the cost of an AI solution?
What are the guidelines for determining what might be good applications for AI or machine learning in OT settings?
What is the role of segmentation in security ICS and how can it be enhanced?
How will cloud adoption impact the future of security for industrial control systems environments?
How do we build dynamic security maturity throughout ICS industries rather than one-time purchases, audits, or box-checking?
How can organizations begin to determine what should and should not be automated?
How is your core business developing secure connectivity into your products and solutions to drive additional value to your customers?
What assurances do you have that your devices will be secure in the field?
How is the regulatory landscape changing and what security standards must you follow to continue to sell IoT solutions and grow your business?
And how can you ensure that you product roadmap includes IoT cybersecurity as a differentiator?

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