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An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures. (arXiv:2308.04898v1 [cs.CR])
cs.LG updates on arXiv.org arxiv.org
As we increasingly depend on software systems, the consequences of breaches
in the software supply chain become more severe. High-profile cyber attacks
like those on SolarWinds and ShadowHammer have resulted in significant
financial and data losses, underlining the need for stronger cybersecurity. One
way to prevent future breaches is by studying past failures. However,
traditional methods of analyzing these failures require manually reading and
summarizing reports about them. Automated support could reduce costs and allow
analysis of more failures. Natural …
analyze arxiv attacks become breaches consequences cyber cyber attacks cybersecurity data financial language language models large language large language models losses profile security software software supply chain software supply chain security solarwinds study supply chain systems