Repello AI Asset Inventory is an AI infrastructure discovery and inventory management tool that scans an organization's codebases, cloud environments, infrastructure, and third-party applications to automatically identify and catalog AI assets. The tool performs automated discovery of AI agents, models, datasets, and tools deployed across an enterprise. Discovered assets are organized into a live, searchable inventory that tracks AI applications, deployed and experimental models, data sources, and underlying infrastructure components such as APIs, connectors, and cloud services. Beyond discovery, the product generates agent graphs and lineage maps that visualize end-to-end relationships between agents, models, prompts, datasets, and tools. These graphs are consolidated into a Threat Graph that maps dependencies, attack paths, and potential blast radius across AI infrastructure. The inventory supports multiple use cases: - AI application tracking: identifies connections, model calls, and ownership - Model registry: tracks versions, usage history, and linked datasets - Dataset lineage: traces data sources feeding agents and models, flagging ungoverned or high-risk data exposure - Infrastructure mapping: reveals dependencies between services, APIs, and compute layers The product also surfaces security signals such as prompt injection vectors, privilege escalation routes, and integration vulnerabilities. It integrates with companion products ARTEMIS (AI red teaming) and ARGUS (AI runtime security) to extend from discovery into active security enforcement.