Assurance program for code security
When programming with Qwen3-235B-A22B-Thinking-2507, security risks can be avoided with the following multi-layered protection:
- <strong]Safety Tip Project: Include explicit requirements such as 'Consider the OWASP Top 10 Security Issues' and 'Include Input Validation' in the prompts.
- sandbox test environment: Use the Qwen-Agent to configure a dedicated test container to execute the generated code instead of the direct production environment.
- Safe Mode Invocation: Limit dangerous tool calls (e.g. file system access) via function_list
- <strong]Audit tracking mechanism: Enable the model's think mode, retaining logs for subsequent security review
- Static Analysis Integration: The generated code is automatically fed into tools such as SonarQube for scanning.
Recommended Secure Development Process:
1. Generation of base code
2. Require models to self-identify potential vulnerabilities
3. Testing in a confined sandbox
4. Manual review of key components
5. Scanning through security tools
This defensive programming approach effectively reduces the security risk of AI-assisted development.
This answer comes from the articleQwen3-235B-A22B-Thinking-2507: A large-scale language model to support complex reasoningThe
May not be reproduced without permission:AI productivity tools " How can I prevent Qwen3-235B-A22B-Thinking-2507 from having a security vulnerability during code generation?
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