Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points
Security vulnerabilities in software can have severe consequences; however, manual vulnerability detection is costly and does not scale, especially as agentic coding frameworks increase the rate of code production. Over the last decade, a large body of research has applied machine learning machine learning to automate...
Dan Ristea, Shae McFadden, Ezzeldin Shereen et al.
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