InfoSec

20250331 - Natural Language to Attack Path

Prompt - Example JSON

How to Use:

1. Copy the entire text block of the prompt link above.
2. Paste it into your interaction with Gemini or another LLM.
3. The AI should then generate *only* the JSON object, which you can copy and paste directly into the Attack Path Visualizer web app.

20250331 - Attack Path Visualizer & Defense Modeler - V01

This attack path modeler allows users to visually construct potential cyber attack scenarios by defining assets, attack steps, and security defenses within a graph interface. It calculates the effectiveness of mapped defenses against specific attack steps, highlighting poorly mitigated paths and integrating relevant MITRE ATT&CK techniques for context. Users can save their models locally, load previous work, and generate reports summarizing critical nodes and identified weaknesses for actionable insights. - WIP, some bugs and NIST mapping missing.