Can Large Language Models Better Predict Software Vulnerability?

The analysis of software for software vulnerability has matured over the years. In the beginning, linear approaches were tried to isolate known vulnerabilities via after-the-fact static analysis. As neural nets and machine learning became useful, more dynamic approaches were applied, It will be interesting to see what the new wave of Generative Artificial intelligence can contribute to the realm of assessing software vulnerabilities.