Nicole Nichols, a Distinguished Engineer at Palo Alto Networks, specializes in AI security and bridging complex systems. In this discussion, she recounts her journey from mechanical engineering to AI. Topics include the critical importance of clear AI vocabularies and the intertwined concepts of fairness and safety in AI. Nicole also explores emerging threats like LLM backdoors and emphasizes the need for collaboration and a growth mindset among tech professionals to tackle evolving cybersecurity challenges in an AI-driven landscape.

Nicole Nichols is a senior research scientist at Pacific Northwest National Lab, specializing in the intersection of machine learning and security. In this discussion, she shares insights from her presentation on using machine learning for cybersecurity, including detecting insider threats through advanced language models. The conversation also dives into software fuzz testing enhanced by deep learning, issues with algorithm efficiency, and the vulnerabilities in object recognition systems, highlighting the critical balance between detection accuracy and human analysis.