Ultimate Checklist: Safe Coding Practices for AI-Generated and Open Source Code
In today’s race to innovate, developers are using AI-generated and open source code to enhance productivity and meet faster release cycles. But with speed comes greater risks ranging from vulnerabilities to lack of transparency in your code, and these risks are multiplying faster than most teams can manage.
This checklist provides crucial insights into proactive strategies for building secure software.
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Download the guide to learn
- How to conduct thorough and effective code reviews to detect flaws earlier in the SDLC
- What secure coding practices are needed to prevent security vulnerabilities
- How to implement vulnerability management processes to reduce attack surfaces
- How to implement security testing tools to automate code quality testing
