NVD in the AI Era: The Case for Multi-Source Vulnerability Intelligence

This article argues that the traditional reliance on a single, centralized source like the U.S. National Vulnerability Database (NVD) for vulnerability intelligence is no longer sustainable. It highlights the NVD's recent shift to a risk-based triage model, where it will no longer fully enrich every CVE due to an overwhelming volume of submissions—a volume driven by both the expansion of the federated CVE system and the rapid acceleration of AI-assisted vulnerability research. This change creates significant potential blind spots for organizations that depend solely on NVD data. As a result, the article advocates for a multi-source intelligence approach that combines data from various advisories, in-house research, threat intelligence, community contributions, and AI-assisted but human-validated workflows to provide the necessary context, prioritization, and actionability for modern security teams. 

https://snyk.io/pt-BR/blog/nvd-multi-source-vulnerability-intelligence/

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