A Pythonic framework for threat modeling
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Updated
Oct 5, 2026 - Python
A Pythonic framework for threat modeling
♾️ Collection of DevSecOps Notes + Resources + Courses + Tools
This repository hosts DSP AppSec internal infrastructure apps deployed in GKE.
Sistema automatizado para validar y fusionar Pull Requests
Complete PCI DSS v4.0 Compliance Article Series — Requirements 1–12, Appendices A1/A2 and A3, Governance Assets, and Compliance Lifecycle Guidance.
SecureAI PolicyGuard is an AI-driven enterprise data protection platform combining automated classification, policy-based encryption, and audit-grade compliance logging.
SecureFlow-CI-CD demonstrates a CI/CD pipeline using GitHub Actions to perform security checks and analyses on a Python project.
🛡️ Protect enterprise data with SecureAI PolicyGuard, an AI-driven platform for automated classification and compliance management.
An AI skill for building modular, maintainable software with evidence-driven development, secure release validation, and defensive security review.
Evidence-backed audit workflow for AI-built software: requirements, tests, evidence, limitations, iOS/MASVS, and signed release approval.
Community resources, roadmap and beginner-friendly cybersecurity learning materials.
The AI Enterprise Configuration & Code Auditor is a server-side application for security, risk and configuration analysis of software projects uploaded as ZIP archives.
Evidence-based research, controls, implementation guidance, templates, and study material for agentic software engineering.
A Flask student-records app with role-based access control, atomic audit logging, layered rate limiting, and a CI pipeline (Ruff/pytest/Bandit/pip-audit).
Reusable engineering rules, skills and executable controls for Codex and Claude Code. Stack-neutral GitHub template.
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