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Security Automation with Python: Practical Python solutions for automating and scaling security operations - Paperback

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Security Automation with Python: Practical Python solutions for automating and scaling security operations - Paperback
Security Automation with Python: Practical Python solutions for automating and scaling security operations - Paperback
Security Automation with Python: Practical Python solutions for automating and scaling security operations - Paperback
$71.98/ea
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$71.98/ea $0.00

Product Description

by Corey Charles Sr. (Author)

Automate vulnerability scanning, network monitoring, and web application security using Python scripts, while exploring real-world case studies and emerging trends like AI and ML in security automation

Key Features:

- Gain future-focused insights into using machine learning and AI for automating threat detection and response

- Get a thorough understanding of Python essentials, tailored for security professionals

- Discover real-world applications of Python automation for enhanced security

- Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

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.

What You Will Learn:

- Use Python libraries to automate vulnerability scans and generate detailed reports

- Integrate Python with security tools like Nessus to streamline SecOps

- Write custom Python scripts to perform security-related tasks

- Automate patch management to reduce the risk of security breaches

- Enhance threat intelligence gathering and improve your proactive defense strategies

- Scale security automation workflows for large environments

- Implement best practices for error handling, logging, and optimizing workflows

- Incorporate automation into security frameworks like NIST 800-53 and FedRAMP

Who this book is for:

This book is for cybersecurity professionals, security analysts, system administrators, and developers looking to leverage Python to automate and enhance their security operations. Whether you're new to Python or experienced in scripting, the book provides practical examples, real-world case studies, and future-focused insights into security automation trends.

Table of Contents

- Introduction to Security Automation with Python

- Configuring Python - Setting Up Your Development Environment

- Scripting Basics - Python Essentials for Security Tasks

- Automating Vulnerability Scanning with Python

- Network Security Automation with Python

- Web Application Security Automation Using Python

- Case Studies - Real-World Applications of Python Security Automation

- Future Trends - Machine Learning and AI in Security Automation with Python

- Empowering Security Teams Through Python Automation

Number of Pages: 284
Dimensions: 0.6 x 9.25 x 7.5 IN
Publication Date: February 07, 2025
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