Learn about our comprehensive security features and best practices for keeping your integration secure and compliant. Our platform is built with security-first principles to protect your data and ensure reliable operations.
All data in transit is encrypted using TLS 1.3
Fine-grained access control and permissions
Secure API authentication and authorization
Best practices for managing API keys
# Store API keys in environment variables
export LATTIS_API_KEY=your_api_key
# Use environment variables in code
from lattis_nexus import Client
client = Client(api_key=os.environ['LATTIS_API_KEY'])Secure error handling practices
try:
result = client.process_sensitive_data()
except Exception as e:
# Log safely without exposing sensitive data
log.error("Error processing data: %s", type(e).__name__)
raiseInput validation and sanitization
def process_vehicle_data(data):
# Validate input data
if not isinstance(data, dict):
raise ValueError("Invalid data format")
# Sanitize and validate fields
vehicle_id = sanitize_input(data.get('vehicle_id'))
if not is_valid_vehicle_id(vehicle_id):
raise ValueError("Invalid vehicle ID")Never commit API keys to version control or expose them in client-side code
Use rate limiting in your applications to prevent abuse
Implement proper input validation and sanitization
Regularly monitor API usage and set up alerts for suspicious activity
Regularly update dependencies to patch security vulnerabilities