# LLM Training Data Poisoning

- ID: go-llm-training-data-poisoning
- Severity: HIGH
- CWE: Deserialization of Untrusted Data (CWE-502)
- Languages: Go

## Description

Detects untrusted data flowing into AI/LLM fine-tuning or training processes without validation.

## Detection Message

Untrusted data flows to {sink} without validation

## Remediation

Validate all training data against strict schemas before ingestion.

```go
if err := validate.Struct(doc); err != nil {
    return errors.New("validation failed")
}
```

Learn more: https://shoulder.dev/learn/go/cwe-502/llm-training-data-poisoning

## Documentation

[object Object]

## Related Rules

- **Insecure Deserialization** [HIGH]: 
- **LLM Training Data Poisoning** [HIGH]: 
- **Unsafe Deserialization** [CRITICAL]: 
- **LLM Training Data Poisoning** [HIGH]: 
- **Unsafe Deserialization** [CRITICAL]: