How to Assess Risk for AI in Embedded Systems and Cloud Environments
About This Session
Artificial Intelligence (AI) has transcended its status as a mere buzzword—it is now a transformative force reshaping the very fabric of enterprise operations and embedded systems.
While AI delivers remarkable advantages—supercharging anomaly detection, enabling predictive maintenance, and bolstering operational resilience—it also ushers in a new era of risk and complexity, especially within Industrial Control Systems and Operational Technology (ICS/OT) environments.
As legacy systems, IoT devices, and cloud platforms converge, the attack surface widens exponentially. This interconnected landscape not only amplifies the potential for adversarial attacks and data poisoning but also raises the stakes for regulatory compliance and operational integrity.
So, the critical question emerges:
How can organizations effectively assess and manage the risks posed by AI in the context of embedded systems and cloud environments?
The answer is not simple, but it is essential.
Prepare yourself: we’re about to journey through the evolving world of AI risk assessment—where vigilance, innovation, and strategic foresight are your best allies.
Strap in, and let’s navigate this complex terrain together!
While AI delivers remarkable advantages—supercharging anomaly detection, enabling predictive maintenance, and bolstering operational resilience—it also ushers in a new era of risk and complexity, especially within Industrial Control Systems and Operational Technology (ICS/OT) environments.
As legacy systems, IoT devices, and cloud platforms converge, the attack surface widens exponentially. This interconnected landscape not only amplifies the potential for adversarial attacks and data poisoning but also raises the stakes for regulatory compliance and operational integrity.
So, the critical question emerges:
How can organizations effectively assess and manage the risks posed by AI in the context of embedded systems and cloud environments?
The answer is not simple, but it is essential.
Prepare yourself: we’re about to journey through the evolving world of AI risk assessment—where vigilance, innovation, and strategic foresight are your best allies.
Strap in, and let’s navigate this complex terrain together!
Speaker
Brian Schleifer
Southeast Regional System Security Engineer & Cybersecurity SME - Modern Technology Solutions Inc (MTSI)
Strategic cybersecurity executive with 24+ years of progressive global leadership in governance, risk management, compliance, training, and business development across defense and commercial sectors. Pursuing a Doctorate of Technology through Purdue University with an emphasis on embedded systems. His hobbies include wrangling his five children and two dogs, as well as his YouTube Channel and Podcast, "People Add Value Experience," where he discusses entrepreneurship and shares life experiences with interesting people.