Speaker
Description
Artificial Intelligence (AI) is reshaping cybersecurity by enhancing threat detection, automating incident response, and supporting intelligent security operations. At the same time, AI systems have become attractive targets for attacks such as adversarial manipulation, data poisoning, model extraction, and prompt injection. This dual role positions AI as both a powerful cybersecurity tool and a critical asset requiring robust protection.
This talk explores the intersection of AI for Security and Security for AI, highlighting the opportunities and challenges of deploying AI in adversarial environments. It discusses why conventional cybersecurity approaches are often insufficient for AI-enabled systems and presents emerging strategies for building resilient, trustworthy, and secure AI through security-by-design, adversarial robustness, and secure deployment practices. Drawing on recent research and real-world examples, the session provides practical insights and best practices for protecting AI-integrated systems while leveraging AI to strengthen modern cyber defense.