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Security Tools

Example Tools for Security Scanning of AI-Generated Code

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Last updated 10 days ago

Here are examples of tools that can be used to install a security scanning system for reviewing AI-generated code:

  1. AquilaX

    • specialises in auditing AI-generated source code to detect vulnerabilities such as backdoors, insecure configurations, and compliance violations. It integrates into CI/CD pipelines, ensuring automated security reviews before deployment[1].

  2. Snyk Code (Powered by DeepCode AI)

    • offers real-time vulnerability scanning and auto-fixing capabilities directly within IDEs. It is particularly effective for securing both human-written and AI-generated code by providing actionable fix suggestions and automating remediation[6][8].

  3. SonarQube

    • is an open-source platform that performs static analysis to identify vulnerabilities in code. It integrates with IDEs and CI/CD pipelines, offering quality gates to block unsafe deployments and ensuring secure coding practices[2].

  4. Semgrep

    • A lightweight static analysis tool that allows developers to create custom rules for vulnerability detection. supports a wide range of programming languages and integrates seamlessly into development workflows[3][4].

  5. Codacy

    • automates code reviews for over 40 programming languages, identifying security vulnerabilities, bugs, and code quality issues. It integrates with GitHub, GitLab, and Bitbucket, making it easy to enforce security standards across teams[2][5].

These tools help ensure that AI-generated code adheres to secure coding practices, mitigating risks such as hardcoded credentials, privilege escalation vulnerabilities, and compliance violations.

Citations: [1] https://aquilax.ai/ai-generated-code [2] https://www.legitsecurity.com/blog/best-security-code-review-tools [3] https://www.jit.io/resources/appsec-tools/top-10-code-security-tools [4] https://www.aikido.dev/blog/top-10-ai-powered-sast-tools-in-2025 [5] https://swimm.io/learn/ai-tools-for-developers/ai-code-review-how-it-works-and-3-tools-you-should-know [6] https://snyk.io/solutions/secure-ai-generated-code/ [7] https://www.securityjourney.com/post/from-code-generation-to-bug-detection-the-ai-tools-every-developer-should-know-and-how-to-stay-secure [8] https://snyk.io/platform/deepcode-ai/ [9] https://www.wiz.io/academy/ai-security-tools [10] https://spectralops.io/blog/top-10-static-application-security-testing-sast-tools-in-2025/ [11] https://www.qodo.ai/blog/best-ai-coding-assistant-tools/ [12] https://www.balbix.com/insights/what-to-know-about-vulnerability-scanning-and-tools/ [13] https://www.blackduck.com/solutions/artificial-intelligence-software-development.html [14] https://www.reddit.com/r/AskProgramming/comments/1bjf0ad/is_ai_code_reviews_something_you_use/ [15] https://thectoclub.com/tools/best-code-analysis-tools/ [16] https://www.sciencedirect.com/science/article/pii/S0950584924001770 [17] https://www.sonarsource.com/blog/enhancing-team-code-reviews-with-ai-generated-code/ [18] https://blog.gitguardian.com/sast-bridging-the-gap-for-modern-developers/ [19] https://www.legitsecurity.com/aspm-knowledge-base/ai-code-generation-benefits-and-risks [20] https://brightsec.com/blog/bringing-dast-security-to-ai-generated-code/

AquilaX
Snyk Code
SonarQube
Semgrep
Codacy