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Fuzzy Logic in Cybersecurity: Reducing Vulnerability Backlogs by 7.5x, Comparing with CVSS, EPSS, and FSTEC Methodologies

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Fuzzy Logic in Cybersecurity: Reducing Vulnerability Backlogs by 7.5x, Comparing with CVSS, EPSS, and FSTEC Methodologies

In a new article on Habr, the author explores the application of fuzzy logic to prioritize vulnerabilities in cybersecurity. Drawing on philosophical paradoxes like the 'sorites paradox,' the author proposes an alternative risk assessment approach that reduces vulnerability backlogs by up to 7.5 times. The material provides a detailed comparison of this methodology against industry standards, including CVSS, EPSS, and FSTEC guidelines. The author analyzes why traditional methods may lack flexibility when dealing with blurred boundaries between critical and non-critical threats. The article serves as a practical guide for security professionals looking to optimize vulnerability management processes and improve incident response efficiency by offering a more adaptive mathematical framework for assessing real-world risks within corporate infrastructures.

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