Center for Applied AI (C4AI)

"Defending Against Weaponized Quantum Cyber-attacks" explores the emerging threat of quantum computing to cybersecurity and presents practical countermeasures. This lecture will introduce Information Theoretic Security, also known as "quantum secure cybersecurity," and explain how organizations can leverage existing tools and cryptographic algorithms to build robust defenses. Attendees will gain insights into why quantum attacks pose a significant risk and learn strategies to protect their systems in the post-quantum era.

Join us as we dive deep into AI model drift, where unexpected behavior is guaranteed. Inspired by the ranger service’s prevention and preparedness mentality, we will discuss the challenges of maintaining robust AI systems. Learn to scrutinize models effectively, preventing them from spiraling out of control and enhancing their long-term success.

In Security Risk in AI/ML, participants will learn about the attacks that can be made against AI models and how to defend against those attacks. Designed for a general audience, this presentation will teach participants how to incorporate AI security risk into their organizational strategy and AI development workflows.

AI is a catalyst of breakthroughs in other technologies, leading to unprecedented change. We will look at how AI advancing other exponential technologies, the change combine change they could bring, and discuss practical ways to thrive through the unprecedented change.