Decrease sensitivity to similar anomalies in Health Log Analytics

---
title: Decrease sensitivity to similar anomalies in Health Log Analytics
description: Make anomaly detection less sensitive to anomalies like the one that triggered the current Log Analytics alert.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/it-operations-management/health-log-analytics/hla-op-alert-raise-feedback-sow.html
release: brazil
product: Health Log Analytics
classification: health-log-analytics
topic_type: task
last_updated: "2026-09-10"
reading_time_minutes: 1
breadcrumb: [Assign higher or lower significance to an alert, Managing alert generation, prioritization, anomaly detection, Health Log Analytics, ITOM AIOps, IT Operations Management]
---

# Decrease sensitivity to similar anomalies in Health Log Analytics

Make anomaly detection less sensitive to anomalies like the one that triggered the current Log Analytics alert.

## Before you begin

**Note:** This functionality is not available for customer alerts and new signal alerts.

Role required: evt\_mgmt\_operator or evt\_mgmt\_admin

## About this task

Selecting the Raise feedback option raises the threshold for generating alerts when Health Log Analytics identifies future anomalies similar to the one that led to this alert.

## Procedure

1.  In the Service Operations Workspace, open a Log Analytics alert and then select **Apply ML feedback** > **Raise**.

    \[Omitted image "hla-raise-feedback.png"\] Alt text: Raise feedback option.

2.  Confirm the action in the dialog box.

    **Note:** Processing this feedback might take a few seconds.

    Anomaly detection is now less sensitive to anomalies like the one that triggered the current alert. The **Restore ML feedback** button appears instead of the **Apply ML feedback** drop-down list.

3.  Restore normal sensitivity to anomalies like the one that triggered this alert.

    1.  While viewing the alert, select **Restore ML feedback**.

    2.  Confirm the action in the dialog box.