> ## Documentation Index
> Fetch the complete documentation index at: https://hilt.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Anomalies

> Model-flagged behavioral findings, and the sensitive paths, users, and hosts they are weighted against.

Anomalies is the queue of **model-flagged** findings. Custom rule firings live on [Alerts](https://hilt.ai/docs/dashboard/alerts.md), not here.

Two tabs: **Queue** and **Sensitivity**. Sensitivity requires the **manage alerts** permission.

***

## Tab: Queue

A docket of behavioral clusters. KPIs typically include volume at risk, sensitive touches, and how much has been reviewed.

Inside the queue: **Review**, **Accepted**, and **Denied**.

Selecting a finding opens an investigation overlay (narrative, graph, events) over the docket. Typical verdicts:

| Action | Effect |
| - | - |
| **Accept** | Confirm as a real anomaly |
| **Deny** | Mark benign / false positive |
| **Suppress** | Deny and suppress matching future patterns |

***

## Tab: Sensitivity

Subtitle: *Paths, users and hosts whose anomalies are surfaced and weighted more often*.

Maintain the sensitive-entity list so scoring treats those paths, users, and hosts with higher weight.

***

## Related

* Rule firings → [Alerts](https://hilt.ai/docs/dashboard/alerts.md)
* Event search → [Logs](https://hilt.ai/docs/dashboard/logs.md)
* Model lifecycle → [Models](https://hilt.ai/docs/on-prem/model-lifecycle.md)
* Findings via REST → [Findings API](https://hilt.ai/docs/api/findings.md)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.