How AI Enhances Static Application Security Testing (SAST)

The GitHub Blog article "How AI Enhances Static Application Security Testing (SAST)" explores the integration of artificial intelligence (AI) into SAST tools to improve vulnerability detection in codebases. Traditional SAST tools rely on predefined models to identify potential vulnerabilities, which can be limited and may miss complex issues. By incorporating AI, these tools can analyze code more comprehensively, identifying a broader range of vulnerabilities, including those that are context-dependent or subtle. This enhancement leads to more accurate and efficient security assessments, enabling developers to address potential threats proactively. 

https://github.blog/ai-and-ml/llms/how-ai-enhances-static-application-security-testing-sast

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