M365 Copilot Impersonation Jailbreak Attack
Detects M365 Copilot impersonation and roleplay jailbreak attempts where users try to manipulate the AI into adopting alternate personas, behaving as unrestricted entities, or impersonating malicious AI systems to…
Description
Detects M365 Copilot impersonation and roleplay jailbreak attempts where users try to manipulate the AI into adopting alternate personas, behaving as unrestricted entities, or impersonating malicious AI systems to bypass safety controls. The detection searches exported eDiscovery prompt logs for roleplay keywords like "pretend you are," "act as," "you are now," "amoral," and "roleplay as" in the Subject_Title field. Prompts are categorized into specific impersonation types (AI_Impersonation, Malicious_AI_Persona, Unrestricted_AI_Persona, etc.) to identify attempts to override the AI's safety guardrails through persona injection attacks.
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 creative writers developing fictional characters, game developers creating roleplay scenarios, educators teaching about AI ethics and limitations, researchers studying AI behavior, or users engaging in harmless creative storytelling 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
- cc26aba8-7f4a-4078-b91a-052d6a53cb13
- Tagged by the source as
- Suspicious Microsoft 365 Copilot ActivitiesWeb ProxyapplicationSplunk 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