How to Detect and Eliminate Shadow AI in 5 Steps

Shadow AI refers to unmanaged AI assets like external API calls, open-source models, and custom models that developers use outside official governance, creating security and compliance risks. Organizations can eliminate these threats through a five-step process: scanning repositories to detect all AI usage, reviewing the shadow inventory by risk priority, assessing security and compliance implications, enforcing policies to block dangerous assets while allowing approved ones, and creating a "golden path" of pre-approved AI resources for developers to use safely.