Machine Learning and Risk Quantification across a Converged Attack Surface


Posted on in Presentations

The biggest risk to your organization isn’t the volume of unpatched vulnerabilities, it’s the outdated processes designed to prioritize them. CVSS isn’t designed for modern prioritization of vulns—it lacks critical threat context. Discover flaws in your processes and improve visibility of your infrastructure to automatically calculate the likelihood of exploitation a vuln poses via machine learning.

Pre-Requisites: Basic understanding of vulnerability scanning and its role in security.

Participants
Kevin Flynn

Sr. Manager, Tenable

Technology Infrastructure & Operations Machine Learning & Artificial Intelligence

risk vulnerability assessment artificial intelligence & machine learning


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