User role-based interface layout profiles in an information technology (IT) and security operations application

An IT and security application observes how users customize their screen layouts when dealing with different types of incidents. It collects this customization data from many users across various organizations. By analyzing these patterns, the application identifies common or "popular" screen arrangements that help users work efficiently, then offers these pre-set layouts for others to apply. The claims describe this as a computer-implemented method specifically for an IT and security operations application.

Why it matters: Filed before the full maturity of cloud-native analytics and advanced machine learning for user behavior. The claims cover learning popular GUI configurations from multi-tenant data, a task now more efficiently handled by readily available cloud-based data processing and ML platforms.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data analysis, multi-tenant architecture

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