AI-augmented applications are redefining the attack surface, from prompt injection in LLMs to memory-resident payloads that blur the lines between inference and intrusion. This session examines real-world case studies where generative AI systems were exploited and how memory forensics plays a pivotal role in uncovering volatile threats. We’ll walk through advanced techniques for detecting and analyzing malicious behavior in memory, especially where conventional logging fails, and offer a forward-facing look at what “threat surfaces” truly mean in a post-AI era.