The AI Inventory Problem Nobody Solved

By now, most organizations have invested in AI governance. Far fewer have solved the problem that makes governance possible in the first place: knowing what AI they are actually running — and with 57% of employees using AI tools at work without telling their manager, the gap is wider than most inventories admit. In this video, Kovrr breaks down what an AI asset inventory actually is, why traditional asset management never catches shadow AI, and what it takes to keep the record accurate.

We cover:

• Why an AI asset inventory is not a software asset list, and what procurement records always miss (personal accounts, AI features switched on inside SaaS you already own, models wired in without review)
• The four detection methods that surface shadow AI (network analysis, identity integrations, SaaS platform monitoring, and browser-level monitoring) and why no single one sees everything
• How to classify AI systems by risk, including what the EU AI Act treats as high risk regardless of how routine it looks — hiring, credit scoring, biometric identification, and critical infrastructure
• Why discovery is only the start, and how an accurate inventory makes compliance scope and financial exposure reflect your true footprint

Schedule a demo: https://www.kovrr.com/ai-risk-assessment-demo
Learn more about the AI Security and Governance Platform: https://www.kovrr.com/ai-governance

Read the full blog on building an AI asset inventory: https://www.kovrr.com/blog-post/how-to-build-an-ai-asset-inventory

#ShadowAI #AIGovernance #AISecurity #AIRiskManagement #EnterpriseAI #Kovrr