Singulr AI Glossary

A pre-vetted AI catalog is a curated list of AI tools, models, and services that have been reviewed and approved by an organization's security, compliance, and IT teams before employees are allowed to use them. It serves as the organization's menu of sanctioned AI options — making it clear which tools are safe to use and which haven't been evaluated yet. A pre-vetted catalog matters because employees are adopting AI tools faster than security teams can evaluate them. Without an approved list, people either use whatever they find on their own (creating shadow AI risk) or they wait for approval processes that take weeks or months (slowing down adoption). A catalog solves both problems: employees get fast access to approved tools, and security teams maintain control over what enters the environment. Building a pre-vetted catalog typically involves evaluating each AI tool against a set of criteria: data privacy practices, security architecture, compliance certifications, model safety characteristics, vendor reputation, and integration requirements. Tools that pass the evaluation are added to the catalog with guidelines for how they should be used — including what data types are permitted, what use cases are approved, and what restrictions apply. The catalog is maintained as a living document, updated as new tools are evaluated and existing tools release new versions. For enterprises, a pre-vetted AI catalog is one of the most practical governance tools available. It enables AI adoption by removing friction for approved use cases while creating a clear boundary between sanctioned and unsanctioned tools. In regulated industries, it also provides auditors with evidence that the organization exercises due diligence over its AI tool selection.