Python is one of the most preferred languages for implementing programming and automation at scale. Network teams can use it to write simple scripts that automate tasks like network detection, device configuration and troubleshooting.

Python can be used to automate a wide range of tasks in cybersecurity, such as scanning for malware, analyzing network traffic, and performing vulnerability assessments. It can also be used to develop custom security tools for specific tasks.

• High Cost of Implementation. 
• Complex Management. 
• Potential False Sense of Security. 
• Compatibility Issues. 
• Inconvenience to Users. 
• Evolving Threat Landscape. 
• Human Error. 
• Limited Effectiveness Against Insider Threats.

• Establish a baseline: Ensure your monitoring system is always available and that you monitor a variety of network devices. 
  Use a monitoring dashboard: Use a robust dashboard to monitor your network.
• Use AI and machine learning: Use tools that use AI and machine learning to identify and adapt to new threats
  
  
• Be proactive: Take a proactive approach to monitoring and threat hunting.
• Monitor regularly: Regularly review network alerts, error reports, performance, and traffic.