October 17, 2019
1:00pm Eastern Time
Nearly every enterprise network has hundreds, thousands, or even more vulnerabilities. Remediating them is a practical impossibility. To date, IT and security teams have had only the CVSS risk score to provide some semblance of guidance, but CVSS does not take into account the context of the vulnerability on your network; it’s simply insufficient to provide a meaningful risk assessment and help prioritize remediation efforts. Modern machine learning algorithms combined with a holistic view of vulnerability risk can yield a truly significant list of your riskiest vulnerabilities and pinpoint which ones need to be remediated first to maximize risk reduction. In this webinar, AI Research Lead Serge-Olivier Paquette we’ll discuss this new, AI-driven approach to vulnerability prioritization and how it can greatly benefit your resource-constrained IT and security teams.