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.