M365 Copilot Information Extraction Jailbreak Attack
Detects M365 Copilot information extraction jailbreak attacks that attempt to obtain sensitive, classified, or comprehensive data through various social engineering techniques including fictional entity…
Description
Detects M365 Copilot information extraction jailbreak attacks that attempt to obtain sensitive, classified, or comprehensive data through various social engineering techniques including fictional entity impersonation, bulk data requests, and privacy bypass attempts. The detection searches exported eDiscovery prompt logs for extraction keywords like "transcendent," "tell me everything," "confidential," "dump," "extract," "reveal," and "bypass" in the Subject_Title field, categorizing each attempt by extraction type and assigning severity levels (CRITICAL for classified/proprietary data, HIGH for bulk extraction or privacy bypass). Prompts are further analyzed for compound risk patterns such as "Confidential+Extraction" or "Bulk_Request+Bypass," filtering out low-severity cases to surface the most dangerous attempts to exfiltrate sensitive organizational information through AI manipulation.
Detection logic
Detection requirements
- Platform
- ContainersESXiIaaSLinuxmacOSNetwork DevicesWindows
The rule states no platform. This is derived from the ATT&CK technique it maps to.
- Log source category
- m365_exported_ediscovery_prompts
Known benign triggers
- Legitimate researchers studying data classification systems, cybersecurity professionals testing information handling policies, compliance officers reviewing data access procedures, journalists researching transparency issues, or employees asking for comprehensive project documentation may trigger false positives.
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 |
|---|---|
| www.splunk.com/en_us/blog/artificial-intelligence/m365-copilot-log-analysis-splunk.html | 8 |
From the source
- At source
- Open at source
- Upstream identifier
- c0ee37bb-ed43-4632-8e38-060fba80b0b2
- Tagged by the source as
- Suspicious Microsoft 365 Copilot ActivitiesWeb ApplicationapplicationSplunk CloudSplunk EnterpriseSplunk Enterprise Securityendpoint
Licence
- Published under
- Apache License 2.0Read the licence
- Attribution
- Required
- Obtained under
- Apache-2.0Read the origin licence
Authorship
- Written by
- Published
- Oct 8, 2026
- Version
- 2