Traditional discovery tells teams where traffic went. It does not reliably show what AI was used, which account was used, what the tool can do, or what risk the interaction created. AI now shows up in sanctioned apps, unsanctioned tools, embedded SaaS features, coding assistants, desktop clients, APIs, and agents.

What matters it not just which AI someone reached, but what they did with it. Traffic tells you the destination. Aurascape understands the app, the account, the capability, and the risk. That means telling an approved enterprise tenant apart from a personal free account, and low-risk chat apart from source code leakage, malicious file sharing, or a risky tool call.

Aurascape’s patented AI-native discovery crawls the web for the newest AI tools, interrogates them, risk scores them, and adds them to the catalog. By the time those apps appear in your environment, they are already understood and policy can be applied automatically. Each discovered tool gets risk score profile with risk attributes, entitlement context, intent, capabilities, and usage evidence.

The solution brief covers building a live AI inventory across web, SaaS, desktop, endpoint, IDE, CLI, API, and agent surfaces, exposing shadow AI and personal-account use, scoring vendor and application risk across 25+ attributes, monitoring sensitive AI activity, accelerating AI approvals, and creating audit-ready visibility for compliance and investigation.