Beyond Static Analysis: AI Powered Vulnerability Detection
The true cost of a software security breach is very high to an enterprise. There are existing tools and processes in place to prevent insecure code from reaching production, but they are known to fall short. To address this shortcoming, I explored the potential of AI in software analysis. By integrating semantic search technologies, a new tool could be built that understands the context and intent behind code segments, offering a more nuanced and accurate analysis of potential vulnerabilities. This open source framework, "AI-Driven Vulnerability Scanner", uses these techniques to provide a more comprehensive and effective solution.