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    Code Security Scanning

    Implement static analysis security testing (SAST) for AI-generated code. Learn how to configure, integrate, and optimize code security scanning in your development workflow.

    Scan Early and Often

    AI-generated code can introduce security vulnerabilities that traditional code reviews miss. Static analysis catches common security flaws before they reach production, but requires proper configuration to avoid overwhelming developers with false positives.

    Code Scanning Implementation Checklist

    Follow these 10 steps to implement effective code security scanning. Critical steps should be completed before processing production code.

    Step 1

    Choose SAST tool

    Critical

    Select a static analysis security testing tool that supports your programming languages and frameworks.

    Step 2

    Integrate into CI/CD

    Critical

    Add security scanning as a required step in your continuous integration pipeline to catch issues early.

    Step 3

    Configure scan rules

    Critical

    Customize scanning rules to reduce false positives and focus on vulnerabilities relevant to your stack.

    Step 4

    Set severity thresholds

    Critical

    Define which severity levels will block builds or require review before merging code changes.

    Step 5

    Scan dependencies

    Critical

    Enable software composition analysis to detect vulnerable third-party libraries and packages.

    Step 6

    Review scan results

    Regularly review and triage security findings, marking false positives and creating remediation plans.

    Step 7

    Enable incremental scanning

    Configure delta scanning to only analyze changed code for faster feedback in development workflow.

    Step 8

    Create baseline

    Establish a security baseline for existing code to track improvement and prevent new vulnerabilities.

    Step 9

    Configure notifications

    Set up alerts for critical vulnerabilities to ensure immediate visibility and faster response times.

    Step 10

    Track remediation metrics

    Monitor time to fix vulnerabilities, vulnerability trends, and team response to security issues.

    Vulnerabilities Detected by SAST

    SQL Injection

    Critical

    Unsanitized user input used in database queries, allowing attackers to manipulate queries.

    Cross-Site Scripting (XSS)

    High

    Unescaped user input rendered in HTML, enabling script injection attacks.

    Hardcoded Secrets

    Critical

    API keys, passwords, or tokens stored directly in source code or configuration files.

    Path Traversal

    High

    File operations using user input without validation, allowing access to unauthorized files.

    Related Resources

    Automated Security Testing

    Build comprehensive automated security testing pipelines

    Vulnerability Scanner Comparison

    Compare SAST tools for AI-generated applications

    Security Audit Checklist

    Complete pre-launch security audit framework

    Common Security Flaws

    Most common vulnerabilities in AI-generated code

    Smart Code Scanning for AI Apps

    VibeEval provides intelligent code security scanning optimized for AI-generated applications. Get accurate vulnerability detection with minimal false positives.

    Start Free Code Scan