Shadow AI is already on your fleet. Here's how to see it.

Shadow AI, which refers to unauthorized AI tools running on devices, poses a challenge for endpoint management as traditional tools often miss these unsanctioned applications. AI tools leave detectable footprints on endpoints across macOS, Windows, and Linux, but they often bypass identity providers and SaaS catalogs since they're not sanctioned apps. Fleet provides a solution by turning devices into live databases that can be queried in real time, offering insights into the AI tools running across an organization's network. This approach allows for effective governance by storing reports and policies as code in Git, enabling auditability and reversibility. Standardizing on a single AI vendor doesn't mitigate the risk as transformative work often occurs outside official boundaries, in native desktop apps and command-line interfaces. Fleet's open-source, API-first design ensures transparency and allows organizations to manage AI governance efficiently, transforming detection into actionable insights by matching discovered tools against CVE data and enabling software updates and policy enforcement. This proactive approach to endpoint management ensures organizations can adopt agentic development responsibly, establishing necessary guardrails while maintaining visibility and control over their AI ecosystem.

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