AI Integration
How structured metadata enables AI agents to fix vulnerabilities accurately
Why AI Needs Structured Errors
Traditional linters output plain text errors like:
"Possible SQL injection vulnerability"
This gives AI assistants no actionable context. They may hallucinate fixes or apply incorrect patterns.
The Hallucination Problem
When an AI assistant receives a vague error message, it must guess at the fix. This leads to incorrect remediation patterns, incomplete fixes, or even introducing new vulnerabilities.
The Interlace Difference
Every Interlace security rule provides structured metadata:
| Field | Example | Purpose |
|---|---|---|
| CWE | CWE-89 | SQL Injection classification |
| OWASP | A03:2021 | Injection category mapping |
| CVSS | 9.8 (Critical) | Severity scoring |
| Fix Pattern | Parameterized query | Verified remediation template |
How AI Agents Use This Data
With structured metadata, AI agents can:
Understand the Exact Vulnerability
The CWE classification tells the AI exactly what type of vulnerability it's dealing with—not a guess, but a precise classification from a global database.
Reference Verified Patterns
Instead of generating a fix from scratch, the AI can reference the rule's documented remediation pattern, which has been tested and verified.
Prioritize by Severity
CVSS scores help AI agents understand which issues are critical (fix now) vs. low priority (can wait).
Supported AI Tools
Interlace's structured metadata works with all major AI coding assistants:
GitHub Copilot
Reads ESLint output and applies suggested fixes inline.
Cursor AI
Uses metadata for context-aware security remediation.
Claude Dev
Leverages CWE/OWASP mappings for precise fixes.
Antigravity
Native integration with structured error output.
Example: SQL Injection Fix
Without Structured Metadata
Error: Possible SQL injection vulnerability (line 19)AI Response: "Maybe use prepared statements? Or escape the input? Let me try..."
With Interlace Metadata
{
"ruleId": "secure-coding/no-sql-concatenation",
"message": "SQL query constructed via string concatenation",
"cwe": "CWE-89",
"owasp": "A03:2021",
"cvss": 9.8,
"fix": {
"pattern": "parameterized-query",
"example": "db.query('SELECT * FROM users WHERE id = $1', [userId])"
}
}AI Response: "Applying parameterized query pattern for CWE-89 SQL Injection..."
100% Precision
With structured metadata, AI agents apply the exact fix pattern—no guessing, no hallucinations.