Shadow AI
Shadow AI refers to AI agents, models, or automations operating without sufficient visibility, registration, or governance.
Definition
Shadow AI describes AI-driven components that are introduced, used, or connected to enterprise resources outside formal security and identity governance processes. The risk is not only technical opacity but also missing ownership, unclear permissions, weak traceability, and uncontrolled data exposure.
Why it matters
Shadow AI creates ungoverned access paths that can bypass identity controls entirely.
The Ariovis perspective
Ariovis does not modernize an anti-pattern by adding another tool. The first step is to understand the process, ownership and operating weakness, then simplify the target before automating it.
Common pitfalls
- A common pitfall is assuming that only official AI deployments pose identity risk while ignoring shadow integrations.
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