A Pythonic framework for threat modeling
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Updated
Jan 9, 2026 - Python
A Pythonic framework for threat modeling
Principios e Boas Práticas sobre Desenvolvimento Seguro
A Collection of Secure Mobile Development Best Practices
A Continuous Threat Modeling methodology
AI-driven Threat modeling-as-a-Code (TaaC-AI)
♾️ Collection of DevSecOps Notes + Resources + Courses + Tools
Easy-to-use Threat modeling-as-a-Code (TaaC) solution following DevSecOps principles. Simple CI/CD integration as well as console usage. Sugar-Free and Secure: no any external dependencies except for chart plotting are used
Hack23 Public Information Security Management System:Security Through Transparency and Open Documentation Demonstrating Security Excellence Through Public ISMS Disclosure
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How to secure your development pipeline with static application security test (SAST) / Dynamic application security test (DAST), software composition analysis (SCA) using Sonarqube.
This repository hosts DSP AppSec internal infrastructure apps deployed in GKE.
implementation of some secure design patterns with explanation
Материалы к вебинару «Как выстроить процесс безопасной разработки в Yandex Cloud».
Essentials for secure development, including threat modeling
Just like chess puzzles, but with code
SecureFlow-CI-CD demonstrates a CI/CD pipeline using GitHub Actions to perform security checks and analyses on a Python project.
Complete PCI DSS v4.0 Compliance Article Series — Requirements 1–12, Appendices A1/A2 and A3, Governance Assets, and Compliance Lifecycle Guidance.
A secure user authentication system with JWT, implementing best practices for secure development, including RBAC, PBAC, session expiration, password encryption with BCrypt, simple audit logging, and Docker containerization as part of a Secure Development course project.
The AI Enterprise Configuration & Code Auditor is a server-side application for security, risk and configuration analysis of software projects uploaded as ZIP archives.
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