Supply Chain Risk Management

About

This skill empowers developers to recognize and defend against the security risks inherent in AI-generated code dependencies. It provides comprehensive guidance on identifying vulnerable packages suggested by AI models due to training data lag, recognizing malicious typosquatting attempts, and implementing secure dependency management practices like version pinning and automated auditing. By bridging the gap between AI-generated suggestions and real-time security requirements, it ensures that external libraries integrated into a project remain secure and up-to-date.

Key Features

• Comparison between vulnerable legacy versions and modern secure alternatives
• Identification of outdated or vulnerable dependency suggestions in AI-generated code
• Best practices for automated security auditing and version pinning
• Detection of typosquatting and dependency confusion attack patterns
• Secure implementation guidelines for package.json and requirements.txt
• 1 GitHub stars

Use Cases

• Reviewing AI-generated configuration files for vulnerable library versions
• Hardening software supply chains against malicious package injection
• Educating development teams on the risks of AI training data lag in security contexts