Original Post: Automatically fix code vulnerabilities with AI
The content discusses Snyk’s “Breaking AI” workshop, highlighting the role of generative AI assistants like Microsoft’s Copilot and Codium in helping developers write code more quickly. However, the emphasis is on the importance of reviewing AI-generated code, drawing an analogy between AI assistants and enthusiastic junior developers. The article introduces Snyk’s Deep Code AI Fix (DCAIF) capability, which combines generative and symbolic AI along with machine learning to automatically fix common security vulnerabilities within integrated development environments (IDEs).
A practical example is provided through a Java project used in workshops to demonstrate how DCAIF can be utilized effectively. The project is a purposely insecure conference scheduling app using Spring Boot, allowing exploration of vulnerabilities like Cross-site Scripting (XSS) in the TalkController.java file. Snyk’s IDE extension can scan and suggest fixes, which can automatically remediate issues, surpassing what AI assistants like Copilot might do on their own.
The article concludes by highlighting the advantage of Snyk’s hybrid AI approach over general AI solutions, indicating lower rates of insecure code generation due to security-focused training provided by Snyk’s research team.
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