OpenAI ChatGPT Enterprise High Codex MCP Tool Diversity
Detects a ChatGPT Enterprise Codex user invoking a high number of distinct MCP tools across multiple connectors within a 30-minute bucket. Broad tool and connector diversity in a short window can indicate…
Description
Detects a ChatGPT Enterprise Codex user invoking a high number of distinct MCP tools across multiple connectors within a 30-minute bucket. Broad tool and connector diversity in a short window can indicate compromised-account recon, unauthorized multi-system collection, or an agent rapidly enumerating organizational data sources.
Detection logic
Its licence does not clear it for publishing here
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Detection requirements
Known benign triggers
- Power users and legitimate multi-connector Codex workflows (for example Slack + GitHub + Google Drive in one session) can approach these thresholds. Raise `Esql.gen_ai_tool_name_count_distinct` or `Esql.connector_id_count_distinct` above your baseline before broad enablement.
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
References
| Reference | Cited by |
|---|---|
| platform.openai.com/docs/compliance | 33 |
| www.elastic.co/docs/reference/integrations/openai_chatgpt_enterprise | 33 |
From the source
- At source
- Open at source
- Upstream identifier
- ec65644d-c9b9-4e4b-a89f-457c75b1dad8
- Tagged by the source as
- Mitre Atlas: AML.T0053Mitre Atlas: AML.T0085Data Source: OpenAI ChatGPT EnterpriseDomain: GenAIPlatform: OpenAIResources: Investigation GuideRule Type: ES|QLService: OpenAI ChatGPT EnterpriseTactic: CollectionUse Case: Threat DetectionUse Case: UEBA
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Oct 17, 2026
- Version
- 1