Shadow AI risks include data leakage into public LLMs, compliance exposure, and zero audit trail. Here's what's really at stake and how to reduce it.

What is shadow AI? Learn the definition, real examples, how it differs from shadow IT, and how organizations get visibility into unsanctioned AI use.

While both technologies serve the overarching purpose of protecting users from accessing harmful or inappropriate content, they function differently, address distinct aspects of security, and come with their own sets of advantages and trade-offs.

Microsoft 365 DLP protects data inside the Microsoft estate, with endpoint control gated behind E5 and onboarded Windows. See what it covers, where it stops on Macs, personal accounts, and AI tools, and how dope.security adds on-device, zero-retention DLP.

URL filtering blocks risky or off-policy websites, and the best tools in 2026 pair it with SSL inspection and DLP. Our top pick is dope.security, a Fly Direct SWG that inspects on the device instead of backhauling traffic, for up to 4x the performance of legacy proxy SWGs.

A 2026 buyer's FAQ on shadow AI governance tools, comparing dope.security, Zscaler, Netskope, Cisco Umbrella, and Palo Alto on discovery, account control, and on-device DLP.