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ISO 42001 Compliance and Checklist

Compliance Checklist

1. Traceability & Logging

ISO 42001 Requirement Implementation Status
Operation logging Logging system in logging_config.py ✅ Complete
Data traceability Logs with timestamps and user ✅ Complete
Record integrity SHA-256 log hashes ✅ Complete
Information backup Automatic backups in results/logs/backup/ ✅ Complete

2. Validation & Verification

ISO 42001 Requirement Implementation Status
Automated tests Unit and integration tests ✅ Complete
Quality control CI/CD with GitHub Actions ✅ Complete
Code verification flake8, mypy for types ✅ Complete

3. Risk Management

ISO 42001 Requirement Implementation Status
Risk assessment risk_assessment.md document ✅ Complete
Mitigation measures Code validations ✅ Complete
System boundaries Documented in technical guide ✅ Complete

Detailed Implementation

1. Logging & Traceability System

1.1 Log Format

# Example generated log
[2025-05-22 12:10:00.123] INFO | user=jsmith | hash=a1b2c3 | Starting NDVI calculation

1.2 Backup System

2. Quality Validation & Control

2.1 Automated Tests

2.2 CI/CD

3. Risk Management

3.1 Implemented Validations

3.2 Mitigation Measures

4. Reproducibility

4.1 Version Control

4.2 Documentation

5. Security & Access Control

5.1 Data Protection

5.2 Secure Configuration

Implementation Examples

Logging System

# Logging configuration in logging_config.py
log_format = (
    "[{time:YYYY-MM-DD HH:mm:ss.SSS}] "
    "{level: <8} | "
    "user={extra[user]} | "
    "hash={extra[hash]} | "
    "{message}"
)

Input Validation

def calculate_ndvi(red_band: np.ndarray, nir_band: np.ndarray) -> np.ndarray:
    """NDVI calculation with ISO 42001 validations."""
    # Input validation
    if red_band.shape != nir_band.shape:
        raise ValueError("Bands must have same dimensions")
    
    # Division by zero control
    denominator = nir_band + red_band
    ndvi = np.where(denominator > 0,
                   (nir_band - red_band) / denominator,
                   0)
    
    # Operation logging
    logger.info(f"NDVI calculated: shape={ndvi.shape}, range=[{ndvi.min():.2f}, {ndvi.max():.2f}]")
    return ndvi