Offensive AI

About

Offensive AI integrates large language models (LLMs) with the Model Context Protocol (MCP) to automate and enhance various cybersecurity workflows. By connecting tools and AI, it aims to empower security professionals with AI-driven capabilities for red teaming, threat hunting, incident response, and more. It provides a framework for building autonomous security agents and automating complex tasks like malware analysis and security testing.

Key Features

• Automates malware development and evasion techniques.
• Provides AI workflows for proactive threat hunting.
• Enables autonomous red team agents driven by LLMs.
• Supports agent-based purple team simulations.
• Facilitates AI-powered SOC analysis with log integration.
• 10 GitHub stars

Use Cases

• Creating cybersecurity tutor/trainer modes with simulated attacks.
• Integrating with CI/CD pipelines for DevSecOps.
• Automating incident report generation with diagrams and mitigations.