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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:

FieldExamplePurpose
CWECWE-89SQL Injection classification
OWASPA03:2021Injection category mapping
CVSS9.8 (Critical)Severity scoring
Fix PatternParameterized queryVerified 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.


Next Steps

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