This is the official OWASP Cheat Sheet Series repository, providing concise, actionable security guidance for developers. It contains over 150 markdown cheat sheets covering web application security, cloud security, AI security, and more. The repository is primarily a documentation project but includes a sophisticated build system (MkDocs, Docker, CI/CD) and tooling for quality assurance: markdown linting, link checking, text linting, and automated PR review agents. The link checker is a standout reusable component with modular architecture. The project is actively maintained with strict quality gates and a well-defined contribution process.

The OWASP Web Security Testing Guide (WSTG) is a comprehensive, community-maintained documentation project defining standard test cases for web application security assessments. It is primarily a structured knowledge base written in Markdown, organized by testing categories including Information Gathering, Authentication, Injection, and API Testing. The repository also serves as the source for multiple derived artifacts: a Jekyll static website (wstg.owasp.org), downloadable PDF/EPUB ebooks via a Pandoc+Typst pipeline, and machine-readable test checklists in JSON, XLSX, and Markdown formats. The build infrastructure includes Python scripts for site generation and navigation, GitHub Actions for CI/CD (linting, link checking, deployment), and a versioned release process that supports multiple channels (latest, stable, past versions). Although the primary content is documentation, the repository functions as a publication platform with significant automation and is actively maintained by a community of contributors. It is not a software application in the traditional sense, but the build tooling and CI/CD pipelines qualify it as an application-focused project with strong data engineering characteristics in its checklist generation and structured content management.

The OWASP AI Security Verification Standard (AISVS) is a community-driven, open-source framework providing a comprehensive set of verifiable security requirements for AI-enabled systems. Modeled after the OWASP Application Security Verification Standard (ASVS), it defines 12 control families (C01-C12) covering the entire AI lifecycle, from training data integrity and model lifecycle management to adversarial robustness and monitoring/logging. The repository is structured as a living standard with two parallel tracks: a locked, stable release (1.0/) and an active development version (1.01-dev/). Each requirement is backed by an extensive research wiki that details the threat landscape, notable incidents, tooling maturity, verification approaches, and open research questions. This makes the AISVS not just a checklist, but a deeply researched knowledge base for engineers, auditors, and security architects building and evaluating AI systems. It also includes appendices for a glossary, a controls inventory, and AI-assisted secure coding practices. Note: This is a documentation/specification repository, not a software application or data science project. Its quality is measured by the rigor of its research, the clarity of its requirements, and the maintainability of its structure.