In addition to improved machine-learning algorithms, NopSec announced new, improved risk scoring functionality for its Risk-based Vulnerability Management software. With its new risk scoring system updates, NopSec is committed to continuous improvement for delivering more accurate threat data than ever before.
Adrienne Juett, Data Scientist at NopSec, said, “One of the more frustrating things anyone dealing with data has to manage is false positives. Our new risk scoring algorithm cuts down on these false positives using supervised machine learning.”
Vulnerability Management teams struggle to navigate the noise due to the growing number of vulnerabilities discovered every day. Often, they spend hours discriminating between exploit kits that have highly weaponized vulnerabilities and those without. A risk scoring and prioritization tool help SecOps teams identify vulnerabilities that pose the greatest risk to the company – but these tools must also evolve as cyberattackers become more sophisticated.
