55blabs / pyY2

Automating with python for security workflows could be difficult but with python it is easy!

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Cybersecurity Automation with Python

Overview

This Python project aims to automate various cybersecurity tasks to enhance security operations and incident response. It includes scripts and tools for tasks such as log analysis, threat intelligence integration, and incident response automation.

Table of Contents

Features

  • Log Analysis: Automate the analysis of log data from various sources to identify suspicious patterns and potential threats.

  • Threat Intelligence Integration: Automate the retrieval of threat intelligence data from multiple sources and integrate it into your security operations.

  • Incident Response Automation: Streamline incident detection and response by automating alerting and response actions.

Prerequisites

Before you begin, ensure you have met the following requirements:

  • Python 3.x installed on your system.
  • Virtual environment (recommended for project isolation).

Getting Started

To get started with this project, follow these steps:

  1. Clone the repository to your local machine:

    git clone https://github.com/yourusername/cybersecurity-automation.git
    
  2. Create a Virtual Environment (optional but recommended) python -m venv venv

    -On linux/Mac Activate the Venv source venv/bin/activate

    -On windows .\venv\Scripts\activate

  3. Install dependenices

    pip install -r requirements.txt

Usage

Using the Cybersecurity Automation scripts, Follow the instructions below

Log analysis

  1. Navigate to the 'log-analysis' directory

  2. Run the log analysis script

    python analyze_logs.py

  3. Follow the on screen prompts to provide input or customize the script.

Threat Intelligence Integration

  1. Navigate to the 'threat-intelligence' directory

  2. Run the threat intelligence script:

    python threat_intelligence.py

  3. Customize the script to define incident response actions and alerts

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Automating with python for security workflows could be difficult but with python it is easy!


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