OpenAI ChatGPT Enterprise Slack Query Burst

Last updated 8 days ago on 2026-10-09
Created 9 days ago on 2026-10-08

About

Detects a ChatGPT Enterprise user issuing ten or more distinct Slack app search queries in a five-minute bucket. Adversaries who abuse a linked Slack connector after session compromise often run rapid multi-query searches across channels and messages to locate sensitive content before collection or exfiltration.
Tags
Domain: GenAIPlatform: OpenAIData Source: OpenAI ChatGPT EnterpriseService: OpenAI ChatGPT EnterpriseUse Case: Threat DetectionRule Type: ES|QLTactic: CollectionTactic: DiscoveryMitre Atlas: AML.T0053Mitre Atlas: AML.T0085Language: esql
Severity
medium
Risk Score
47
MITRE ATT&CK™

Collection (TA0009)(external, opens in a new tab or window)

Discovery (TA0007)(external, opens in a new tab or window)

False Positive Examples
Incident responders, support engineers, or community managers who run many Slack search refinements in a short window. Validate the query values and business context before escalating. Approved automation that uses ChatGPT's Slack connector for triage or knowledge lookup. Raise the distinct-query threshold if those roles remain noisy.
License
Elastic License v2(external, opens in a new tab or window)

Definition

Integration Pack
Prebuilt Security Detection Rules
Related Integrations

openai_chatgpt_enterprise(external, opens in a new tab or window)

Query
text code block:
from logs-openai_chatgpt_enterprise.app_log-* | where data_stream.dataset == "openai_chatgpt_enterprise.app_log" and openai_chatgpt_enterprise.app_log.app_name == "Slack" and openai_chatgpt_enterprise.app_log.log_type == "request" and openai_chatgpt_enterprise.app_log.query is not null and user.email is not null | eval Esql.time_bucket = date_trunc(5 minutes, @timestamp) | stats Esql.query_count_distinct = count_distinct(openai_chatgpt_enterprise.app_log.query), Esql.event_count = count(*), Esql.query_values = values(openai_chatgpt_enterprise.app_log.query), Esql.timestamp_first_seen = min(@timestamp), Esql.timestamp_last_seen = max(@timestamp) by user.email, organization.id, Esql.time_bucket | where Esql.query_count_distinct >= 10 | keep user.email, organization.id, Esql.time_bucket, Esql.query_count_distinct, Esql.event_count, Esql.query_values, Esql.timestamp_first_seen, Esql.timestamp_last_seen

Install detection rules in Elastic Security

Detect OpenAI ChatGPT Enterprise Slack Query Burst in the Elastic Security detection engine by installing this rule into your Elastic Stack.

To setup this rule, check out the installation guide for Prebuilt Security Detection Rules(external, opens in a new tab or window).