Predictive Prioritization: Data Science Lets You Focus On The 3% Of Vulnerabilities Likely To Be Exploited

This whitepaper explores the growing challenge of vulnerability management in today’s dynamic digital environment. With rapid adoption of cloud, DevOps, mobile, IoT, and critical infrastructure, enterprises face an overwhelming volume of vulnerabilities—16,500 new CVEs were published in 2018 alone. Traditional methods, like the Common Vulnerability Scoring System (CVSS), are insufficient to differentiate between theoretical and actual risk, leaving cybersecurity and IT teams under pressure to patch the right vulnerabilities efficiently.

The paper introduces Predictive Prioritization, a data-driven approach that helps organizations focus on the 3% of vulnerabilities most likely to be exploited. By applying predictive analytics, businesses can prioritize patches based on real risk, improving operational efficiency and reducing exposure. This strategy not only strengthens cybersecurity defenses but also streamlines resource allocation across IT and security teams. Download this whitepaper to learn how predictive prioritization can transform your vulnerability management strategy.