---
title: Kron PAM Configuration for Connection of ML-Based Threat Analytics and Response Engine
slug: kronpam-reference-guide-3-8-0/kron-pam-configuration-for-connection-of-ml-based-threat-analytics-and-response-engine
docTags: 
createdAt: 2023-12-05T11:13:53.383Z
---

1. Log in to the Kron PAM master instance’s CLI with pamuser.
2. Navigate to the UEBA configuration folder: **$ cd /pam/docker-mgmt/config-repo/**
3. Open the uba-default.properties file with a text editor and set the parameters below.
4. After making changes restart the UBA service.

| **Parameter**                             | **Description**                                                                                                                 | **Default Value**                       |
| ----------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------- |
| sc.uba.ignored.log.types                  | Ignored log types. Should be written comma-separated and every log type should be in single quotes.                             | 'OCR', 'FILE\_DOWNLOAD', 'FILE\_UPLOAD' |
| sc.uba.command.log.process.days.before    | Number of previous days to scan in the logs in order to determine what the ML engine should consider the usual (base) behavior. | 15                                      |
| sc.uba.command.log.read.job.fixed.rate.ms | The log processing job's execution interval                                                                                     | 60000                                   |
| sc.uba.command.log.read.job.init.delay.ms | First job execution time after starting the application                                                                         | 0                                       |
| ml.log.anomaly.api.server.url             | ML-Based Threat Analytics and Response Engine’s IP and port address                                                             | https\://ml-engine-ip\:port             |