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Issue 1: AI Hallucinations and Slopsquatting Fake Packages
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Classroom Contents
The Secret to Secure AI Code
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- 1 The AI Security Problem
- 2 3 critical security mistakes AI tools make
- 3 Issue 1: AI Hallucinations and Slopsquatting Fake Packages
- 4 Issue 2: Known vulnerabilities in valid dependencies
- 5 Issue 3 Vulnerabilities within the generated code
- 6 Introducing Snyk Studio: The solution for secure AI coding
- 7 How to install the Snyk extension VS Code example.
- 8 Authenticating your Snyk account
- 9 Reviewing existing vulnerabilities in a repository
- 10 Proactive vs. Reactive security
- 11 What is "Secure at Inception"?
- 12 Manual configuration & scan frequency settings
- 13 Enabling Snyk MCP tools in GitHub Copilot
- 14 Setting up the comparison test MiniMax M2,.1
- 15 How AI leverages Snyk rules during generation
- 16 Real-time fix: Replacing deprecated packages C-Surf
- 17 Final Results: Reducing 8 vulnerabilities down to zero
- 18 Handling false positives & sending feedback
- 19 Summary: Why you need Snyk Studio for AI coding
- 20 Outro and resources.
