8 Shadow IT Risks in the Age of AI Agents and How to Eliminate Them

In 2025, shadow AI poses significant challenges to enterprise security by bypassing traditional identity and access management systems. Unlike classic shadow IT, which involved unsanctioned apps that could be managed with single sign-on (SSO), shadow AI involves autonomous AI agents that operate without formal oversight, often using personal access tokens and locally-run servers that circumvent the corporate identity provider (IdP). This creates unauthorized automation and data exposure risks, as these agents can access and manipulate production data without leaving traces in IdP logs. To address these risks, it's crucial to establish a governance framework that treats AI agents as first-class clients, requiring them to authenticate through the IdP with appropriately-scoped, short-lived credentials. Solutions like SSOJet can bridge the gap between existing IdPs and AI infrastructures, ensuring that AI agents operate within the enterprise identity governance boundary, thereby enhancing visibility and control over non-human clients.