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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

Web Application Security Automation Using Python

In today’s digital world, web applications are integral to businesses and personal use, making them prime targets for cyberattacks. Ensuring the security of these applications is paramount, yet manually identifying and fixing vulnerabilities can be both time-consuming and prone to error. This is where automation steps in. In this chapter, we’ll explore how Python, a versatile and powerful programming language, can be used to automate various aspects of web application security. From scanning for vulnerabilities to detecting common attack vectors such as SQL injection and cross-site scripting (XSS), Python-based tools and scripts offer efficiency and scalability in securing web applications. Whether you’re a security professional or a developer, this chapter will guide you through practical techniques to enhance the security of web applications using Python.

In this chapter, we’ll cover the following topics...

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