Shadow AI Discovery: 7 Steps to Find Hidden AI in 2026

Shadow AI discovery is the process of identifying ungoverned AI tools and applications within an organization before they become problematic during audits or data breaches. It builds on the concept of shadow IT, focusing on AI tools that may be used without oversight, such as employees pasting data into chatbots or developing applications with vibe coding on production systems. The discovery process is essential for governance, as it provides visibility into AI usage that automated tools alone cannot capture. This involves analyzing network traffic, auditing expense reports, reviewing OAuth and identity provider logs, and conducting amnesty surveys among teams. The goal is to inventory and classify AI tools and apps by risk, implementing a continuous monitoring system to keep the inventory current as new tools emerge. Superblocks offers a solution for governance by providing a platform where discovered apps can be safely managed, with full visibility and audit capabilities for IT, ensuring that non-engineers can build within a secure framework.