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
- Timestamp: Millisecond precision
- User: Operator identification
- Hash: Integrity verification
- Message: Clear action description
1.2 Backup System
- Automatic log backup
- SHA-256 verification
- 90-day retention
- Location in
results/logs/backup/
2. Quality Validation & Control
2.1 Automated Tests
- Unit tests (
tests/unit/) - Integration tests (
tests/integration/) - Code coverage > 80%
2.2 CI/CD
- GitHub Actions
- Style verification (flake8)
- Type checking (mypy)
3. Risk Management
3.1 Implemented Validations
- Input data verification
- Limits and range control
- Anomaly detection
3.2 Mitigation Measures
- Detailed error logging
- Automatic backup
- Safe default values
4. Reproducibility
4.1 Version Control
- Git for source code
- Semantic versioning
- CHANGELOG.md updates
4.2 Documentation
- Complete README.md
- Technical documentation
- User guides
5. Security & Access Control
5.1 Data Protection
- Configured .gitignore
- Configuration separation
- GitHub access control
5.2 Secure Configuration
- .env.example without sensitive data
- Safe default values
- Configuration validation
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