---
title: Enrich events with geoIP information
description: You can use Auditbeat along with the GeoIP Processor in Elasticsearch to export geographic location information based on IP addresses. Then you can use...
url: https://www.elastic.co/docs/reference/beats/auditbeat/auditbeat-geoip
products:
  - Auditbeat
  - Beats
applies_to:
  - Elastic Stack: Generally available
---

# Enrich events with geoIP information
You can use Auditbeat along with the [GeoIP Processor](https://www.elastic.co/docs/reference/enrich-processor/geoip-processor) in Elasticsearch to export geographic location information based on IP addresses. Then you can use this information to visualize the location of IP addresses on a map in Kibana.
The `geoip` processor adds information about the geographical location of IP addresses, based on data from the Maxmind GeoLite2 City Database. Because the processor uses a geoIP database that’s installed on Elasticsearch, you don’t need to install a geoIP database on the machines running Auditbeat.
<note>
  If your use case involves using Logstash, you can use the [GeoIP filter](https://www.elastic.co/docs/reference/logstash/plugins/plugins-filters-geoip) available in Logstash instead of using the `geoip` processor. However, using the `geoip` processor is the simplest approach when you don’t require the additional processing power of Logstash.
</note>


## Configure the `geoip` processor

To configure Auditbeat and the `geoip` processor:
1. Define an ingest pipeline that uses one or more `geoip` processors to add location information to the event. For example, you can use the Console in Kibana to create the following pipeline:
   ```json

   {
     "description": "Add geoip info",
     "processors": [
       {
         "geoip": {
           "field": "client.ip",
           "target_field": "client.geo",
           "ignore_missing": true
         }
       },
       {
         "geoip": {
           "database_file": "GeoLite2-ASN.mmdb",
           "field": "client.ip",
           "target_field": "client.as",
           "properties": [
             "asn",
             "organization_name"
           ],
           "ignore_missing": true
         }
       },
       {
         "geoip": {
           "field": "source.ip",
           "target_field": "source.geo",
           "ignore_missing": true
         }
       },
       {
         "geoip": {
           "database_file": "GeoLite2-ASN.mmdb",
           "field": "source.ip",
           "target_field": "source.as",
           "properties": [
             "asn",
             "organization_name"
           ],
           "ignore_missing": true
         }
       },
       {
         "geoip": {
           "field": "destination.ip",
           "target_field": "destination.geo",
           "ignore_missing": true
         }
       },
       {
         "geoip": {
           "database_file": "GeoLite2-ASN.mmdb",
           "field": "destination.ip",
           "target_field": "destination.as",
           "properties": [
             "asn",
             "organization_name"
           ],
           "ignore_missing": true
         }
       },
       {
         "geoip": {
           "field": "server.ip",
           "target_field": "server.geo",
           "ignore_missing": true
         }
       },
       {
         "geoip": {
           "database_file": "GeoLite2-ASN.mmdb",
           "field": "server.ip",
           "target_field": "server.as",
           "properties": [
             "asn",
             "organization_name"
           ],
           "ignore_missing": true
         }
       },
       {
         "geoip": {
           "field": "host.ip",
           "target_field": "host.geo",
           "ignore_missing": true
         }
       },
       {
         "rename": {
           "field": "server.as.asn",
           "target_field": "server.as.number",
           "ignore_missing": true
         }
       },
       {
         "rename": {
           "field": "server.as.organization_name",
           "target_field": "server.as.organization.name",
           "ignore_missing": true
         }
       },
       {
         "rename": {
           "field": "client.as.asn",
           "target_field": "client.as.number",
           "ignore_missing": true
         }
       },
       {
         "rename": {
           "field": "client.as.organization_name",
           "target_field": "client.as.organization.name",
           "ignore_missing": true
         }
       },
       {
         "rename": {
           "field": "source.as.asn",
           "target_field": "source.as.number",
           "ignore_missing": true
         }
       },
       {
         "rename": {
           "field": "source.as.organization_name",
           "target_field": "source.as.organization.name",
           "ignore_missing": true
         }
       },
       {
         "rename": {
           "field": "destination.as.asn",
           "target_field": "destination.as.number",
           "ignore_missing": true
         }
       },
       {
         "rename": {
           "field": "destination.as.organization_name",
           "target_field": "destination.as.organization.name",
           "ignore_missing": true
         }
       }
     ]
   }
   ```
   In this example, the pipeline ID is `geoip-info`. `field` specifies the field that contains the IP address to use for the geographical lookup, and `target_field` is the field that will hold the geographical information. `"ignore_missing": true` configures the pipeline to continue processing when it encounters an event that doesn’t have the specified field.
   See [GeoIP Processor](https://www.elastic.co/docs/reference/enrich-processor/geoip-processor) for more options.
   To learn more about adding host information to an event, see [add_host_metadata](https://www.elastic.co/docs/reference/beats/auditbeat/add-host-metadata).
2. In the Auditbeat config file, configure the Elasticsearch output to use the pipeline. Specify the pipeline ID in the `pipeline` option under `output.elasticsearch`. For example:
   ```yaml
   output.elasticsearch:
     hosts: ["localhost:9200"]
     pipeline: geoip-info
   ```
3. Run Auditbeat. Remember to use `sudo` if the config file is owned by root.
   ```sh
   ./auditbeat -e
   ```
   If the lookups succeed, the events are enriched with `geo_point` fields, such as `client.geo.location` and `host.geo.location`, that you can use to populate visualizations in Kibana.

If you add a field that’s not already defined as a `geo_point` in the index template, add a mapping so the field gets indexed correctly.

## Visualize locations

To visualize the location of IP addresses, you can create a new [coordinate map](https://www.elastic.co/docs/explore-analyze/visualize/maps) in Kibana and select the location field, for example `client.geo.location` or `host.geo.location`, as the Geohash.
![Coordinate map in Kibana](https://www.elastic.co/docs/reference/beats/auditbeat/images/coordinate-map.png)