An AI-Powered Privacy Threat Modeling tool based on the LINDDUN framework by leveraging Large Language Models.
-
Updated
Apr 26, 2026 - Python
#
linddun
Here are 6 public repositories matching this topic...
This repository contains an example application for a Patient Community, inspired by a LINDDUN example privacy analysis.
-
Updated
May 19, 2023 - TypeScript
A skill to analyze existing code against PbD principles
-
Updated
Jun 1, 2026
A Design skill to develop designs ontology first
-
Updated
Jun 2, 2026
This project presents a Privacy-Aware Smart Healthcare Platform that implements real-time privacy threat modeling using the LINDDUN Privacy Threat Modeling Framework. The system dynamically analyzes how healthcare data flows through the application and identifies privacy risks associated with personal information.
-
Updated
Jun 11, 2026 - HTML
Seven threat-modeling worksheets (STRIDE, LINDDUN, PASTA, attack tree, DFD, trust boundary, abuse case) plus five worked examples (web, mobile, ML, IaC, IoT).
risk-analysis methodology pasta threat-modeling attack-trees appsec worksheets linddun strided security-designs
-
Updated
Jun 11, 2026
Improve this page
Add a description, image, and links to the linddun topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the linddun topic, visit your repo's landing page and select "manage topics."