> ## Documentation Index
> Fetch the complete documentation index at: https://docs.truu.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Personas Overview
Identity Personas are multi-dimensional profiles TOTAL builds for each enrolled identity. They combine behavioral, environmental, and access signals so analysts can see how someone typically works, how that profile is changing, and where risk concentrates.
## Overview
A **Persona** is TOTAL’s consolidated view of one identity across 72 dimensions derived from cross-domain data: how they collaborate, authenticate, use tools, move through time and space, and align with their role and peers. Personas support next-step prediction for identity-related events and are continuously evaluated for drift so slow, sophisticated changes do not go unnoticed.
## The Persona Page
Open any identity from the [Persona Directory](/personas/directory) to see their Persona page: AI-generated narrative, peer and group context, active threat cases when present, and links into cluster-level context.
## Identity Persona Visualization
The **Identity Persona** visualization maps signals into a network-style graph: nodes reflect signal categories and relationships, so you can scan how strongly different dimensions cohere for this user.
For dimension-level detail, drift cards, and peer comparison charts, use [Persona Signals](/personas/persona-signals) and [Drift Insights](/personas/drift-insights).
## Persona Cluster Visualization
The Persona Cluster view situates this identity among like-cyber-minded peers grouped by TOTAL’s clustering model. It complements the identity graph by showing how this Persona fits a broader risk and behavior cohort.
See [Clusters](/personas/clusters) for how clusters are formed, shared attributes, and drift at the cohort level.
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