Proofpoint Insider Threat Management (ITM)

Stack 9.0.0 Stack 8.18.0 Serverless Observability Serverless Security


Version	1.0.0 (View all)
Subscription level What's this?	Basic
Level of support What's this?	Elastic

Proofpoint Insider Threat Management (ITM) is a people-centric SaaS solution that helps you protect sensitive data from insider threats and data loss at the endpoint. It combines context across content, behavior and threats to provide you with deep visibility into user activities. Proofpoint ITM helps security teams tackle the challenges of detecting and preventing insider threats. It can streamline their responses to insider-led incidents and provide insights that help prevent further damage.

Use this integration to collect and parse data from your Proofpoint ITM instance.

Compatibility

This module has been tested against the Proofpoint ITM API version v2.

Data streams

This integration collects the following logs:

Reports - This data stream enables users to retrieve reports from Proofpoint ITM, including the following log types:
User activity
DBA activity
System events
Alerts activity
Audit activity
In-App elements

Requirements

Agentless-enabled integration

Agentless integrations allow you to collect data without having to manage Elastic Agent in your cloud. They make manual agent deployment unnecessary, so you can focus on your data instead of the agent that collects it. For more information, refer to Agentless integrations and the Agentless integrations FAQ.

Agentless deployments are only supported in Elastic Serverless and Elastic Cloud environments. This functionality is in beta and is subject to change. Beta features are not subject to the support SLA of official GA features.

In Kibana navigate to Management > Integrations.
In the search top bar, type Proofpoint ITM.
Select the Proofpoint ITM integration and add it.
Add all the required integration configuration parameters: URL, Token URL, Client ID, and Client type.
Save the integration.

		{
    "@timestamp": "2025-03-01T12:00:00.000Z",
    "agent": {
        "ephemeral_id": "12fe4ae6-bc36-46eb-8476-a1bd11861a63",
        "id": "45f2c37d-e743-4930-a341-4fb252244526",
        "name": "elastic-agent-17075",
        "type": "filebeat",
        "version": "8.18.0"
    },
    "data_stream": {
        "dataset": "proofpoint_itm.report",
        "namespace": "39091",
        "type": "logs"
    },
    "ecs": {
        "version": "8.17.0"
    },
    "elastic_agent": {
        "id": "45f2c37d-e743-4930-a341-4fb252244526",
        "snapshot": true,
        "version": "8.18.0"
    },
    "event": {
        "agent_id_status": "verified",
        "category": [
            "session"
        ],
        "created": "2025-02-25T16:08:11.000Z",
        "dataset": "proofpoint_itm.report",
        "id": "7340EB6D-A8BB-4F25-9408-2BD807FB7B13",
        "ingested": "2025-03-20T06:31:52Z",
        "kind": "alert",
        "original": "{\"_time\":\"2025-02-25T16:08:11Z\",\"accessedSiteName\":\"c-awfi.top\",\"accessedUrl\":\"http://c-awfi.top/\",\"applicationName\":\"Windows Shell Experience Host\",\"collectorId\":\"C2C1C429-C002-4FB8-99F4-7F1005ED9889\",\"collectorUrl\":\"https://code1.preview.observeit.net/\",\"command\":\"example_command\",\"commandParams\":\"--example --params\",\"createdAt\":\"2025-02-25T16:08:11Z\",\"databaseName\":\"example_database\",\"details\":\"Detailed description of the event.\",\"detailsUrl\":\"https://details.example.com/event/abcde\",\"domainName\":\"code1.observeit.net\",\"endpointId\":\"E035BBC2-1D72-4F25-9408-2BD807FB7B13\",\"endpointName\":\"Example Endpoint\",\"eventPlaybackUrl\":\"https://playback.example.com/event/abcde\",\"host\":\"host.example.com\",\"id\":\"7340EB6D-A8BB-4F25-9408-2BD807FB7B13\",\"loginName\":\"Administrator\",\"observedAt\":\"2025-02-25T16:08:11Z\",\"operationKind\":\"Read\",\"originFileName\":\"confidential.docx\",\"originSiteName\":\"Internal SharePoint\",\"os\":\"Windows\",\"playbackUrl\":\"https://code1.preview.observeit.net/ObserveIT/SlideViewer.aspx?SessionID=1A8B5249-EDAC-A8BB-4F25-9408-2BD807FB7B13\",\"processExecutable\":\"shellexexperiencehost\",\"remoteAddress\":\"175.16.199.0\",\"remoteHostName\":\"Dake-WinX\",\"risingValue\":\"2025-03-01T12:00:00Z\",\"ruleCategoryName\":\"Security\",\"ruleDesc\":\"Description of the security rule.\",\"ruleName\":\"Invalid User Asstempt\",\"secondaryDomainName\":\"n/a\",\"secondaryLoginName\":\"n/a\",\"sessionId\":\"1A8B52A9-EDAC-448E-9871-79DB21D53C28\",\"sessionUrl\":\"https://session.example.com/abc123\",\"severity\":\"High\",\"sqlCommand\":\"SELECT * FROM users;\",\"sqlUserName\":\"db_user\",\"targetFileName\":\"confidential_copy.docx\",\"targetSiteName\":\"External Drive\",\"timezoneOffset\":\"0\",\"userActivityEventId\":9876543210,\"userActivityObservedAt\":\"2025-02-25T16:08:11Z\",\"windowTitle\":\"Start\"}",
        "type": [
            "info"
        ]
    },
    "file": {
        "name": "confidential.docx"
    },
    "host": {
        "ip": [
            "175.16.199.0"
        ],
        "name": "Dake-WinX",
        "os": {
            "type": "windows"
        }
    },
    "input": {
        "type": "cel"
    },
    "observer": {
        "product": "ObserveIT",
        "vendor": "Proofpoint"
    },
    "process": {
        "args": [
            "--example --params"
        ],
        "command_line": "example_command"
    },
    "proofpoint_itm": {
        "report": {
            "_time": "2025-02-25T16:08:11.000Z",
            "accessed": {
                "site_name": "c-awfi.top",
                "url": "http://c-awfi.top/"
            },
            "application_name": "Windows Shell Experience Host",
            "collector": {
                "id": "C2C1C429-C002-4FB8-99F4-7F1005ED9889",
                "url": "https://code1.preview.observeit.net/"
            },
            "command": {
                "params": "--example --params",
                "value": "example_command"
            },
            "created_at": "2025-02-25T16:08:11.000Z",
            "database_name": "example_database",
            "details": {
                "name": "Detailed description of the event.",
                "url": "https://details.example.com/event/abcde"
            },
            "domain_name": "code1.observeit.net",
            "endpoint": {
                "id": "E035BBC2-1D72-4F25-9408-2BD807FB7B13",
                "name": "Example Endpoint"
            },
            "event_playback_url": "https://playback.example.com/event/abcde",
            "friendly_name": "Invalid User Asstempt",
            "host": "host.example.com",
            "id": "7340EB6D-A8BB-4F25-9408-2BD807FB7B13",
            "login_name": "Administrator",
            "observed_at": "2025-02-25T16:08:11.000Z",
            "operation_kind": "Read",
            "origin": {
                "file_name": "confidential.docx",
                "site_name": "Internal SharePoint"
            },
            "os": "Windows",
            "playback_url": "https://code1.preview.observeit.net/ObserveIT/SlideViewer.aspx?SessionID=1A8B5249-EDAC-A8BB-4F25-9408-2BD807FB7B13",
            "process_executable": "shellexexperiencehost",
            "remote": {
                "address": "175.16.199.0",
                "host_name": "Dake-WinX"
            },
            "rising_value": "2025-03-01T12:00:00.000Z",
            "rule": {
                "category_name": "Security",
                "desc": "Description of the security rule.",
                "name": "Invalid User Asstempt"
            },
            "secondary": {
                "domain_name": "n/a",
                "login_name": "n/a"
            },
            "session": {
                "id": "1A8B52A9-EDAC-448E-9871-79DB21D53C28",
                "url": "https://session.example.com/abc123"
            },
            "severity": "High",
            "sql": {
                "command": "SELECT * FROM users;",
                "user_name": "db_user"
            },
            "target": {
                "file_name": "confidential_copy.docx",
                "site_name": "External Drive"
            },
            "timezone_offset": 0,
            "user_activity": {
                "event_id": "9876543210",
                "observed_at": "2025-02-25T16:08:11.000Z"
            },
            "window_title": "Start"
        }
    },
    "related": {
        "hosts": [
            "Dake-WinX"
        ],
        "ip": [
            "175.16.199.0"
        ],
        "user": [
            "Administrator",
            "n/a",
            "db_user"
        ]
    },
    "rule": {
        "category": "Security",
        "description": "Description of the security rule.",
        "name": "Invalid User Asstempt"
    },
    "source": {
        "domain": "code1.observeit.net"
    },
    "tags": [
        "preserve_original_event",
        "preserve_duplicate_custom_fields",
        "forwarded",
        "proofpoint_itm-report"
    ],
    "url": {
        "domain": "c-awfi.top",
        "full": "http://c-awfi.top/",
        "original": "http://c-awfi.top/",
        "path": "/",
        "scheme": "http"
    },
    "user": {
        "name": "Administrator"
    }
}
		
	

Field	Description	Type
@timestamp	Date/time when the event originated. This is the date/time extracted from the event, typically representing when the event was generated by the source. If the event source has no original timestamp, this value is typically populated by the first time the event was received by the pipeline. Required field for all events.	date
data_stream.dataset	The field can contain anything that makes sense to signify the source of the data. Examples include `nginx.access`, `prometheus`, `endpoint` etc. For data streams that otherwise fit, but that do not have dataset set we use the value "generic" for the dataset value. `event.dataset` should have the same value as `data_stream.dataset`. Beyond the Elasticsearch data stream naming criteria noted above, the `dataset` value has additional restrictions: * Must not contain `-` * No longer than 100 characters	constant_keyword
data_stream.namespace	A user defined namespace. Namespaces are useful to allow grouping of data. Many users already organize their indices this way, and the data stream naming scheme now provides this best practice as a default. Many users will populate this field with `default`. If no value is used, it falls back to `default`. Beyond the Elasticsearch index naming criteria noted above, `namespace` value has the additional restrictions: * Must not contain `-` * No longer than 100 characters	constant_keyword
data_stream.type	An overarching type for the data stream. Currently allowed values are "logs" and "metrics". We expect to also add "traces" and "synthetics" in the near future.	constant_keyword
event.dataset	Name of the dataset. If an event source publishes more than one type of log or events (e.g. access log, error log), the dataset is used to specify which one the event comes from. It's recommended but not required to start the dataset name with the module name, followed by a dot, then the dataset name.	constant_keyword
event.module	Name of the module this data is coming from. If your monitoring agent supports the concept of modules or plugins to process events of a given source (e.g. Apache logs), `event.module` should contain the name of this module.	constant_keyword
input.type	Type of Filebeat input.	keyword
log.offset	Log offset.	long
proofpoint_itm.report._time		date
proofpoint_itm.report.accessed.site_name		keyword
proofpoint_itm.report.accessed.url		keyword
proofpoint_itm.report.application_name		keyword
proofpoint_itm.report.collector.id		keyword
proofpoint_itm.report.collector.url		keyword
proofpoint_itm.report.command.params		keyword
proofpoint_itm.report.command.value		keyword
proofpoint_itm.report.created_at		date
proofpoint_itm.report.database_name		keyword
proofpoint_itm.report.details.name		keyword
proofpoint_itm.report.details.url		keyword
proofpoint_itm.report.domain_name		keyword
proofpoint_itm.report.endpoint.id		keyword
proofpoint_itm.report.endpoint.name		keyword
proofpoint_itm.report.event_playback_url		keyword
proofpoint_itm.report.friendly_name		keyword
proofpoint_itm.report.host		keyword
proofpoint_itm.report.id		keyword
proofpoint_itm.report.login_name		keyword
proofpoint_itm.report.observed_at		date
proofpoint_itm.report.operation_kind		keyword
proofpoint_itm.report.origin.file_name		keyword
proofpoint_itm.report.origin.site_name		keyword
proofpoint_itm.report.os		keyword
proofpoint_itm.report.playback_url		keyword
proofpoint_itm.report.process_executable		keyword
proofpoint_itm.report.remote.address		ip
proofpoint_itm.report.remote.host_name		keyword
proofpoint_itm.report.rising_value		date
proofpoint_itm.report.rule.category_name		keyword
proofpoint_itm.report.rule.desc		keyword
proofpoint_itm.report.rule.name		keyword
proofpoint_itm.report.secondary.domain_name		keyword
proofpoint_itm.report.secondary.login_name		keyword
proofpoint_itm.report.session.id		keyword
proofpoint_itm.report.session.url		keyword
proofpoint_itm.report.severity		keyword
proofpoint_itm.report.sql.command		keyword
proofpoint_itm.report.sql.user_name		keyword
proofpoint_itm.report.target.file_name		keyword
proofpoint_itm.report.target.site_name		keyword
proofpoint_itm.report.timezone_offset		long
proofpoint_itm.report.user_activity.event_id		keyword
proofpoint_itm.report.user_activity.observed_at		date
proofpoint_itm.report.window_title		keyword

Screenshots

This integration includes one or more Kibana dashboards that visualizes the data collected by the integration. The screenshots below illustrate how the ingested data is displayed.

Changelog

Version	Details	Kibana version(s)
1.0.0	Enhancement (View pull request) Release package as GA.	8.18.0 or higher 9.0.0 or higher
0.3.0	Enhancement (View pull request) Use `terminate` processor instead of `fail` processor to handle agent errors.	—
0.2.0	Enhancement (View pull request) Remove duplicated installation instructions from the documentation	—
0.1.2	Bug fix (View pull request) Add temporary processor to remove the fields added by the Agentless policy.	—
0.1.1	Bug fix (View pull request) Fix default request trace enabled behavior.	—
0.1.0	Enhancement (View pull request) Initial release.	—

Proofpoint Insider Threat Management (ITM)

Compatibility

Data streams

Requirements

Agentless-enabled integration

Agent-based installation

Setup

Enable the integration in Elastic

Logs reference

Report

Example

Screenshots

Changelog