Secure Coding with Python

Follow secure coding guidelines to avoid financial losses, damage to reputation, and loss of customer trust.

1. Authentication and Authorisation: Implement strong authentication to verify who is accessing your application resources. also, implement valid authorization to ensure the authenticated user is permitted to access your application resources.
2. Secure Communication: In this connected world make sure your application uses secure protocols like HTTPS for web applications and TLS/SSL for other network communication.
3. Validate and Encrypt Data: Make sure whenever your application receives inputs from users or machines, you validate and sanitize the inputs. also whenever your application is storing sensitive data make sure it’s always encrypted.
4. No Hardcoded Secrets: Avoid hardcoding and storing your API Keys, Passwords, and Cryptographic in your source code repositories, use environment variables instead, one can also use cloud secretes services.
5. Code Scanning Tools: Make sure you use code scanning tools like Bandit to find security vulnerabilities in your application code, also use tools like Safety to scan vulnerabilities in your code dependencies. Use Pylint to enforce coding standards. One can also avail of GitHub Advance Security Tools to integrate these in your GitHub workflow.
6. Secure Config and Logging: Make sure your applications environments, firewalls, network, databases, and caches are configured correctly and not exposing any security risk. Also make sure your application is logging any security issue or alert correctly, and not exposing any sensitive data in logs.
7. Educate Devs: Make sure you educate and train your dev teams about security risks for your application and also follow and monitor secure coding practices outlined in OWASP.
   

Integrating these security measures throughout the development lifecycle, one can build a robust and secure Python application.
We follow all these while developing Python applications for our clients and protect them against security threats leading to financial, and reputation loss.