Machine Learning and Predictive Prioritization: A New Approach For Reducing Your Cyber Exposure
How machine learning and data science dramatically improve the way you prioritize your vulnerability management workload
Tenable introduced Predictive Prioritization in late 2018 to help eliminate vulnerability overload. Using machine learning and data science, Predictive Prioritization finds the 3% of vulnerabilities you need to fix first – the vulns posing the greatest immediate risk to your organization.
To learn more about the data and computer science behind Predictive Prioritization, we encourage you to attend, “To Reduce Your Cyber Exposure, Find and Fix First the 3% of Vulnerabilities that Matter Most,” April 30, 2019. This webinar will explain:
- The data science and machine learning that makes possible Predictive Prioritization and the Vulnerability Priority Rating (VPR) score
- How you can effectively identify the vulnerabilities that will most likely be exploited in the near term
- Ways to dramatically improve your remediation efforts by focusing on the the highest risk vulns
- Answers to your questions during live Q&A
All IT and infosec professionals responsible for ensuring the efficient and effective delivery of vulnerability management programs are encouraged to attend this webinar.
Save your spot. Register now.
Vice President, Product Marketing