OpenAI ChatGPT Enterprise Conversation Shared

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OpenAI ChatGPT Enterprise Conversation Shared

Detects ChatGPT Enterprise audit events where a conversation is shared. Sharing can expose prompts, completions, and attached files outside the original conversation participants and may be used to exfiltrate sensitive content.

Rule type: esql

Rule indices: None

Severity: medium

Risk score: 47

Runs every: 5m

Searches indices from: now-9m (Date Math format, see also Additional look-back time)

Maximum alerts per execution: 100

References:

Tags:

Domain: GenAI
Platform: OpenAI
Data Source: OpenAI ChatGPT Enterprise
Service: OpenAI ChatGPT Enterprise
Use Case: Threat Detection
Resources: Investigation Guide
Rule Type: ES|QL
Tactic: Exfiltration
Mitre Atlas: AML.T0025

Version: 1

Rule authors:

Elastic

Rule license: Elastic License v2

Investigation guide

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Triage and analysis

Investigating OpenAI ChatGPT Enterprise Conversation Shared

A conversation was shared. Sharing can expose prompts, responses, and attached context beyond the original participants.

Escalate when the audience is external or overly broad, the conversation contains sensitive data, or sharing coincides with downloads or mass deletion. Close as a false positive for expected collaboration inside the organization.

Possible investigation steps

Identify the user, conversation, and share-related fields on the alert.
Determine the intended audience and whether it matches workspace sharing policy.
Review nearby message content, file downloads, or additional shares from the same user.
Check whether the conversation includes credentials, proprietary code, or customer data.

False positive analysis

Users intentionally share conversations for collaboration within the organization when that sharing path is approved.

Response and remediation

Revoke unauthorized shares and review other sharing activity by the same actor.
If sensitive content was exposed, follow your data-incident process for the recipients and channel used.

Setup

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Setup

This rule requires the OpenAI ChatGPT Enterprise integration to collect compliance logs into Elasticsearch.

https://www.elastic.co/docs/reference/integrations/openai_chatgpt_enterprise

Rule query

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from logs-openai_chatgpt_enterprise.audit_log-* metadata _id, _version, _index
| where
    data_stream.dataset == "openai_chatgpt_enterprise.audit_log" and
    event.action == "conversation_share"
| keep
    _id, _version, _index, @timestamp, event.action, user.id, user.email, source.ip,
    openai_chatgpt_enterprise.audit_log.action_data.conversation_id,
    openai_chatgpt_enterprise.audit_log.action_data.shared_conversation_id,
    openai_chatgpt_enterprise.audit_log.action_data.already_exists,
    openai_chatgpt_enterprise.audit_log.action_privilege, data_stream.*

Framework: MITRE ATT&CK^TM

Tactic:
- Name: Exfiltration
- ID: TA0010
- Reference URL: https://attack.mitre.org/tactics/TA0010/
Technique:
- Name: Exfiltration Over Web Service
- ID: T1567
- Reference URL: https://attack.mitre.org/techniques/T1567/

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