Read the original article: Using Machine Learning for Static Analysis
In some ways, machine learning and AI systems are becoming a victim of their own success. While they are genuinely useful in many fields, particularly when it comes to marketing analysis and for cybersecurity, their utility in these fields means that some people have tried to use them for everything. That includes using machine learning systems to create static code analyzers for locating security vulnerabilities.
Some of these attempts have met with a modicum of success: Facebook, Amazon, and Mozilla all now offer some form of ML-driven static code analyzers. However, and as anyone who understands the fundamentals of machine learning will appreciate, these approaches also come with some inherent limitations.
Read the original article: Using Machine Learning for Static Analysis