The Problem with 200,000 "Critical" Vulnerabilities

Your scanner says you have 200,000 critical vulnerabilities. Your team has maybe 10 people. So where do you even start?

In this webinar, NopSec Data Science Lead Adrienne Juett and Solutions Engineering Lead Rob Johnson break down how AI and machine learning can cut through the noise—and why traditional scoring methods are failing security teams.

Why CVSS Falls Short

Here's a reality check: 56% of CVEs have a "high" CVSS score. But only about 8% have known exploits, and just 1.7% are actively used in real-world attacks.

That gap? It's where security teams burn out chasing vulnerabilities that will never actually be exploited.

CVSS tells you severity. It doesn't tell you risk.

NopSec's Threat-Focused Approach

NopSec's machine learning model asks a different question: What's the probability this vulnerability will be used in a targeted attack

The model is trained on massive threat intelligence—exploit databases, malware associations, threat actor activity, even what the internet is saying about a CVE. The result: a risk score that reflects real-world danger, not theoretical severity.

The Numbers That Matter

• 15x more likely: CVEs with a critical NopSec Risk Score are 15 times more likely to have actual threats associated with them than critical CVSS scores.
• 2x better prediction: NopSec's algorithm is twice as effective at predicting real threats compared to using CVSS alone.
• 60% missed by EPSS: About 60% of known threats have an EPSS score below 0.5—meaning EPSS alone would deprioritize them.

Beyond the CVE: Context Is Everything

A vulnerability score is just the starting point. NopSec amplifies that with environmental context:

• Asset topology: How connected is this system? How reachable?
• Business value: Is this a domain controller or a printer?
• Compensating controls: What EDR or firewall policies are in place?
• Attack path analysis: If a hacker wanted in, what route would they take?

This full-context view transforms prioritization from guesswork into strategy.

What This Looks Like in Practice

Rob demonstrates how the platform shows you the why behind every score—scanner severity, NopSec Risk Score, environmental factors, and the specific threat intelligence that triggered the rating.

No black box. Full transparency. And the ability to override when your domain knowledge says otherwise.

Watch the Full Webinar

See the live demo and learn how AI-powered risk scoring can help your team fix less and secure more.

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See how NopSec's AI-powered platform helps reduce real risk—efficiently and continuously.