On May 2, 2017, CLTC was honored to welcome Ignacio Arnaldo, who serves as chief data scientist at PatternEx, a Bay Area startup that is working to develop an artificial intelligence platform for information security (InfoSec). PatternEx leverages state-of-the-art machine learning and artificial intelligence algorithms for real-time attack prevention in enterprise applications.
In his presentation, Arnaldo provided an overview of how machine learning can support cybersecurity. He drew parallels with facial recognition software to explain how machines learn (and why cybersecurity is a unique machine-learning challenge), and he explained that the evolution of artificial intelligence in the field cybersecurity parallels that of a cybersecurity analyst, who learns through experience to master different phases, including building knowledge, detection, investigation, and response.
This event was presented as part of the UC Berkeley Center for Long-Term Cybersecurity’s Spring 2017 Lunch Seminar Series. More information can be found here. The video (which was recorded as a livestream) can be seen below.