Vulnerabilities - Using Runtime Context for Better Management

What Happened

In 2026, the cybersecurity landscape is overwhelmed with data. In 2025 alone, 48,185 Common Vulnerabilities and Exposures (CVEs) were reported, marking a 20.6% increase from the previous year. This translates to about 130 new vulnerabilities disclosed daily. The rise is attributed to the growth of open-source software and complex dependencies in software supply chains.

The Challenge

While only 2% of discovered vulnerabilities are actively exploited, nearly 29% of those are exploited on or before their disclosure date. This shrinking window between disclosure and exploitation means that traditional methods of vulnerability management, which rely heavily on Common Vulnerability Scoring System (CVSS) scores, are becoming inadequate. The focus must shift from merely scanning for vulnerabilities to prioritizing which ones to address based on their actual risk.

Static Analysis Limitations

Static analysis tools are essential for identifying vulnerabilities early in the development process. However, they can't determine whether a vulnerable library is actively used in production. For instance, a CVSS score of 9.8 does not indicate whether the vulnerable package is loaded in a critical service or is entirely unused. Only 15% of critical vulnerabilities with fixes are found in packages that are actively loaded at runtime.

Runtime Security's Role

Runtime security provides crucial insights into what is executing in production environments. By monitoring active processes and connections, security teams can better assess where real risks lie. This allows them to focus on vulnerabilities that genuinely matter, reducing the backlog of findings by over 95% in some cases.

Bridging the Gap

Effective communication between security and development teams is vital. Runtime data allows security teams to present findings in a context that developers can understand, linking vulnerabilities to tangible business risks. This fosters collaboration rather than friction, as developers can prioritize fixes based on real-world implications.

Reducing the Attack Surface

To manage vulnerabilities effectively, teams must also work on reducing the attack surface. Runtime intelligence aids in:

1. Building leaner images: Identifying and removing unused packages and libraries.
2. Detecting unexpected behavior: Tools like Falco can flag unusual activities in real-time, providing an additional layer of security while vulnerabilities are being patched.

Conclusion

As the volume of vulnerabilities continues to rise, the need for smarter prioritization and collaboration between security and development teams becomes critical. By combining static analysis with runtime intelligence, organizations can navigate the complex landscape of vulnerabilities more effectively and ensure that they focus on what truly matters.