Best Perplexity prompts for Information Security Analysts

Analyze the provided SQL query to identify potential injection vulnerabilities and recommend modifications to improve security, considering the principles of least privilege and input validation. The query is: 'SELECT * FROM users WHERE username = '$username' AND password = '$password';'. Provide a step-by-step guide on how to refactor the query to prevent injection attacks, including the use of parameterized queries and input sanitization.

Conduct a security audit of the existing ETL pipeline, which extracts data from a Snowflake database, transforms it using Python, and loads it into a Tableau dashboard. Identify potential security risks, such as data encryption, access control, and authentication, and provide recommendations for mitigation, including the implementation of SSL/TLS encryption, role-based access control, and multi-factor authentication.

Evaluate the performance of a regression model used for anomaly detection in network traffic data, considering metrics such as precision, recall, and F1-score. Provide a detailed analysis of the model's strengths and weaknesses, including the potential impact of concept drift and data quality issues, and recommend techniques for improvement, such as feature engineering, hyperparameter tuning, and model selection.

Develop a data cleaning script in Python to preprocess threat intelligence data, which includes handling missing values, removing duplicates, and performing data normalization. The script should also include data transformation steps, such as converting IP addresses to integer values and extracting relevant features from text data. Provide a step-by-step guide on how to implement the script, including the use of libraries such as Pandas and NumPy, and recommend techniques for data quality assessment and validation.