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Security Automation with Python

Security Automation with Python

By : Corey Charles Sr.
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Security Automation with Python

Security Automation with Python

5 (1)
By: Corey Charles Sr.

Overview of this book

Designed to address the most common pain point for security teams—scalability—Security Automation with Python leverages the author’s years of experience in vulnerability management to provide you with actionable guidance on automating security workflows to streamline your operations and improve your organization’s overall security posture. What makes this book stand out is its hands-on approach. You won’t just learn theoretical concepts—you’ll apply Python-based automation techniques directly to real-world scenarios. Whether you're automating vulnerability scans, managing firewall rules, or responding to security incidents, this book provides clear examples and use cases, breaking down complex topics into easily digestible steps. With libraries like Paramiko, Requests, and PyAutoGUI, you’ll automate everything from network scanning and threat intelligence gathering to system patching and alert management. Plus, this book focuses heavily on practical tips for error handling, scaling automation workflows, and integrating Python scripts into larger security infrastructures. By the end of this book, you'll have developed a set of highly valuable skills, from creating custom automation scripts to deploying them in production environments, and completed projects that can be immediately put to use in your organization.
Table of Contents (15 chapters)
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Part 1: Understanding Security Automation and Setting Up the Environment
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Part 2: Automation of the Security Practice
9
Part 3: Case Study and Trends in Security Automation Using Python

Automating input validation

Input validation is one of the most critical security practices in web application development. Poorly validated inputs can open the door to serious vulnerabilities, such as SQL injection, XSS, and remote code execution (RCE). Automating input validation allows security teams and developers to quickly and effectively ensure that inputs conform to expected formats, reducing the likelihood of exploitation. In this section, we will explore how Python can be used to automate the process of input validation for web applications.

Understanding input validation

Input validation ensures that any data inputted by users is checked for type, format, length, and structure before it is processed by the application. Validating inputs properly helps mitigate various attacks that stem from improper handling of data, such as the following:

  • SQL injection: When unvalidated input is inserted directly into a SQL query, attackers can manipulate the query to steal...
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