Threat Actor Reportedly Used Hermes AI Agent for Unattended Post-Compromise Activity in Thailand's Ministry of Finance Network
July 9, 2026
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MEASURE 3.1 — similarity 0.675, rank 1. TAIM detail and related incidents →
- MANAGE 2.2 — similarity 0.668, rank 2. TAIM detail and related incidents →
- MEASURE 2.10 — similarity 0.656, rank 3. TAIM detail and related incidents →
- Alleged deployer
- threat-actors, hackers, ai-agent-system-deployers, cybercriminals, agentic-threat-actors
- Alleged developer
- nous-research, ai-agent-system-developers
- Alleged harmed parties
- thailand-ministry-of-finance, government-of-thailand, government-agencies, governments, information-security, national-security-and-intelligence-stakeholders, privacy
AI governance case studies
For forensic AI governance failure analysis (TAIMScore™ case studies), browse Human Signal’s Failure Files™.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1669
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.