Which of the following tasks can be automated using Python in cybersecurity?

Log analysis is a task that can be effectively automated using Python in cybersecurity due to its capabilities in data manipulation, processing, and analysis. Python offers a variety of libraries and tools specifically designed for handling and analyzing large volumes of log data, such as Pandas for data manipulation, and libraries like Matplotlib or Seaborn for data visualization. By automating the log analysis process, security professionals can quickly identify patterns, anomalies, and potential threats in their system logs without the need for extensive manual intervention. This not only saves time but also increases the accuracy and efficiency of detecting security incidents.

In contrast, user training typically involves personal interaction and tailored instruction that is difficult to automate effectively using a programming language like Python. Similarly, website design requires a blend of creative skills and design principles that can't be fully automated by coding alone, while policy development is a complex cognitive process that requires human judgment, organizational understanding, and often collaboration, making it less suitable for automation through scripting.