Artificial Intelligence has emerged as both the sharpest weapon and the most effective shield in modern cybersecurity. While defenders deploy cutting-edge AI systems to detect threats and automate responses in real-time, cybercriminals are increasingly using AI to create stealthier malware, craft highly targeted phishing campaigns, and even develop autonomous attack tools.
This session explores the evolving AI vs. AI landscape -- a high-speed battle where algorithms combat algorithms, and the lines between attacker and defender blur. We’ll examine how cybercriminals are turning to adversarial machine learning and generative AI to stay ahead, but also how automation is beginning to replace low-level cybercrime roles, leading to unexpected job losses in the underground criminal economies.
Through real-world examples and the latest research, we’ll unpack:
How generative adversarial networks (GANs) and LLMs are used to evade detection What happens when autonomous AI agents operate without human oversight The double disruption: AI is not only displacing human defenders but also human hackers The next phase of AI-powered cybersecurity tools and how defenders can stay ahead
Join us for a deep dive into the future of cybersecurity where automation fights automation, and success means staying one algorithm ahead.
Learning Objectives:
Recognize what happens when autonomous AI agents operate without human oversight.
Understand the double disruption: AI is not only displacing human defenders but also human hackers.
Learn the next phase of AI-powered cybersecurity tools and how defenders can stay ahead.
