Topic

Ai-Inventory

AI inventory refers to a comprehensive catalog and documentation of artificial intelligence systems, models, and applications deployed across an organization. This includes tracking details such as system purpose, data inputs, algorithms used, ownership, deployment location, and lifecycle status. For enterprise AI governance, maintaining an accurate AI inventory is foundational to compliance, risk management, and regulatory oversight, enabling organizations to identify shadow AI, assess regulatory exposure, implement consistent controls, and demonstrate accountability across their AI infrastructure.

4 items

ResearchGlobal2026-06-13

A 90-Day Blueprint for Standing Up AI Governance: What Bluewave's Sequenced Framework Means for Compliance Teams

Bluewave Technology Group has published a phased 90-day implementation guide for enterprise AI governance programs, covering scope-setting, working group formation, AI use policy drafting, and AI system inventory in the first phase, followed by ownership structures, approval tollgates, observability, and security alignment in subsequent phases. The guide is positioned as a practical starting point for organizations that have not yet formalized AI governance without overengineering early controls. It offers compliance teams a concrete sequence rather than a comprehensive framework, making it relevant to programs at the earliest stages of maturity.

governance-program-implementation ai-inventory approval-tollgates compliance-maturity policy-framework

ResearchGlobal2026-06-11

Anaconda Implementation Guide Surfaces Five Governance Gaps Most Enterprise AI Programs Have Not Closed

Anaconda has published a practitioner-focused implementation guide covering risk classification, documentation standards, audit processes, red-team testing, accountability assignments, and agentic AI inventory. The guide provides a structured blueprint organizations can use to build or benchmark AI governance programs against operational controls. It is particularly relevant for compliance teams that have adopted high-level frameworks but have not yet translated them into testable procedures.

ai-inventory risk-tiering agent-governance audit-readiness accountability

Corporate PolicyGlobal2026-05-01

Agent Identity and Permissions Emerge as First-Class Controls in ServiceNow's Enterprise AI Governance Platform

ServiceNow announced at its Knowledge 2026 conference an expanded AI governance platform designed to manage agent identities, permissions, and connected assets across the enterprise. The platform treats agent authorization as a distinct governance layer rather than an application-level setting. The announcement signals a broader industry shift toward treating non-human AI actors with the same identity and access rigor applied to human users.

agent identity agentic AI access control enterprise governance AI inventory

ResearchGlobal2025-05-30

Shadow AI and Client-Side Widgets Create an Inventory Gap That Existing Controls Do Not Cover, Kiteworks Analysis Finds

Kiteworks published a research piece on May 30, 2025, framing the central AI governance challenge as an architecture and visibility problem rather than a policy problem. The analysis identifies shadow AI deployments, embedded client-side scripts, third-party AI widgets, and fragmented controls as the primary blind spots undermining enterprise AI oversight. It recommends continuous inventory, Content Security Policy and script allowlists, third-party AI monitoring programs, joint incident response planning, and treating AI widgets as data processors under applicable privacy frameworks.

shadow AI third-party risk data privacy AI inventory vendor management