Code Security Protection Strategies for AI-Assisted Development
To ensure the security of Copilot generated code:
- explicit verification: Ask "What is the injection risk of this SQL query" for all suggested code.
- Mode Limitations: Enable in Settings
"仅建议OWASP Top10验证过的模式" - dependency check: Agent mode execution
"扫描项目中的CVE漏洞"command - context filter: Avoid turning on real-time completion in documents containing sensitive information
Defense-in-depth programs: combiningGitHub CodeQLPerform static analysis: Copilot generates the base code first and then verifies it with CodeQL rule sets. Critical system code is recommended to be audited manually for safety critical parts (e.g. authentication logic), Copilot is better suited to generate test cases to cover boundary conditions.
This answer comes from the articleGitHub Copilot Chat: Microsoft open-sources VS Code-assisted AI programming toolThe
May not be reproduced without permission:AI productivity tools " How to prevent AI-generated code from introducing security vulnerabilities?
