Protect AI-generated code with intelligent security that understands LLM coding patterns
As vibe coding transforms software development, new security challenges emerge that require specialized protection
Simply tell the AI what you want to build in natural language, without needing to know specific programming languages.
The AI creates working code based on your description, handling the technical implementation details for you.
AI-generated code can contain hidden vulnerabilities that traditional security tools aren't designed to detect.
AI-generated code introduces unique security challenges that require specialized protection
AI may generate code that appears secure but contains subtle flaws or incomplete implementations.
Malicious prompts can trick AI into generating code with backdoors or security flaws.
AI often includes dependencies without proper version pinning or security verification.
Our system understands LLM coding patterns and can detect AI-specific vulnerabilities.
Identifies code that may have been generated from potentially malicious prompts.
Automatically checks and secures dependencies in AI-generated code.
Link your GitHub repository where you store your vibe-coded projects
Our specialized AI security system analyzes your code for vibe coding vulnerabilities
Get detailed reports and automated fixes specifically designed for AI-generated code
Understanding the unique security challenges in AI-generated code
AI models often generate code with subtle security flaws that traditional scanners miss. These vulnerabilities are particularly dangerous because the code appears correct at first glance.
AI may generate authentication code that looks secure but contains logical flaws or incomplete implementations.
Error handlers that expose sensitive information or fail to properly validate inputs.
Generated code often includes development-oriented defaults that aren't safe for production.
Beyond individual code snippets, vibe coding can introduce system-level security issues that affect the entire application architecture and its interactions.
AI often includes dependencies without proper version pinning, creating supply chain vulnerabilities.
Generated code may implement API calls without proper authentication or data validation.
AI-generated code frequently violates industry standards like GDPR, HIPAA, or PCI-DSS without explicit guidance.
Our security engine is specifically trained on LLM-generated code patterns to detect subtle vulnerabilities that traditional scanners miss.
Beyond just identifying issues, MergeSecure suggests and can automatically implement fixes tailored to vibe-coded projects.
Integration with GitHub ensures every pull request is analyzed before merging, preventing vulnerabilities from reaching production.
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