Machine Learning Can Address the Most Pressing Security Challenge

Presented by

Kasey Cross, Director of Product Management at LightCyber

About this talk

Noise is the enemy of breach detection and response. After a major data breach it is often the case that signs of an attacker existed, but were buried in thousands of other security alerts that were mainly false positives. With machine learning, meaningful signs of an attack are more easily detected and isolated, so a security operator can focus on precisely the right issue. This session will examine: - The problem of noise - The role of machine learning in sifting through vast amounts of data to get to the fidelity needed to detect an attacker - Best practices for including machine learning in your security operations About the Presenter: Kasey Cross is a Sr. Product Marketing Manager at Palo Alto Networks, joining this month through the acquisition of LightCyber. She has over 10 years of experience in marketing positions at cybersecurity companies including Imperva, A10 Networks, and SonicWALL. She was also the CEO of Menlo Logic and led the company through its successful acquisition by Cavium Networks. She graduated from Duke University.

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