The Secret to Secure AI Code

Feb 2, 2026

AI is revolutionizing software development, but it’s also generating code faster than humans can review. In this video, we dive into the three biggest security risks of AI code generation and show you how to automate your defense using Snyk Studio. Learn how to enable Secure At Inception to catch vulnerabilities in real-time within your IDE.

Use Snyk for free to find and fix security issues in your applications today! https://snyk.co/ugLYn

✍️ Resources ✍️

⏲️ Chapters ⏲️

00:00 The AI Security Problem

00:42 3 critical security mistakes AI tools make

00:57 Issue 1: AI Hallucinations and Slopsquatting (Fake Packages)

03:02 Issue 2: Known vulnerabilities in valid dependencies

03:21 Issue 3 Vulnerabilities within the generated code

04:00 Introducing Snyk Studio: The solution for secure AI coding

04:16 How to install the Snyk extension (VS Code example).

05:08 Authenticating your Snyk account

05:49 Reviewing existing vulnerabilities in a repository

06:37 Proactive vs. Reactive security

06:52 What is "Secure at Inception"?

07:25 Manual configuration & scan frequency settings

08:23 Enabling Snyk MCP tools in GitHub Copilot

08:53 Setting up the comparison test (MiniMax M2,.1)

10:43 How AI leverages Snyk rules during generation

11:43 Real-time fix: Replacing deprecated packages (C-Surf)

12:49 Final Results: Reducing 8 vulnerabilities down to zero

13:15 Handling false positives & sending feedback

14:10 Summary: Why you need Snyk Studio for AI coding

14:35 Outro and resources.

⚒️ About Snyk ⚒️

Snyk helps you find and fix vulnerabilities in your code, open-source dependencies, containers, infrastructure-as-code, software pipelines, IDEs, and more! Move fast, stay secure.

Learn more about Snyk: https://snyk.co/ugLYl

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