4 posts tagged with "EPSS"

Traditional vulnerability management is drowning. With over 28,000 CVEs published annually and security teams facing a 4.2 million talent shortage, the old approach of "patch everything above CVSS 7.0" is not just inefficient—it's dangerous. Enter the AI revolution: Machine learning models that predict exploitation with 94% accuracy, reduce false positives by 87%, and cut remediation time by 73%. This deep dive reveals how AI is transforming CVSS and EPSS scoring, why 78% of organizations have already adopted AI-powered vulnerability assessment, and provides a practical implementation guide for revolutionizing your risk management strategy.

Every zero-day disclosure starts a race against time. Our analysis of 2,847 zero-day vulnerabilities from 2020-2024 reveals a consistent pattern: organizations have approximately 30 days before widespread exploitation begins. Understanding this window—and how to use it—can mean the difference between a close call and a catastrophic breach.

Imagine knowing which vulnerabilities attackers will target before they strike. What seemed like science fiction is now reality through the Exploit Prediction Scoring System (EPSS). This machine learning model, trained on millions of vulnerability observations, predicts exploitation probability with remarkable accuracy. Today, we'll decode how EPSS works, why it matters, and how to leverage it for proactive security.

For over two decades, the Common Vulnerability Scoring System (CVSS) has been the cornerstone of vulnerability prioritization. Security teams worldwide have relied on the simple directive: "Patch everything with a CVSS score above 7.0." But as the threat landscape evolves and the volume of vulnerabilities explodes, this approach is not just outdated—it's dangerous.