Hacker Runs Hermes AI Agent Unattended for Post-Exploitation at Thai Finance Ministry

What happened

A hacker installed the Hermes AI agent on a rented server and disabled its safety check that requires permission before executing sensitive commands. The agent was directed at Thailand’s Ministry of Finance network. It autonomously scanned systems, probed file systems, and searched for ways to gain root-level access without additional human interaction.

The risk

Running an AI agent like Hermes unattended after turning off safeguard prompts raises the threat level by giving it free rein to escalate privileges and explore a network. Unlike traditional manual hacking steps, the AI can quickly and repeatedly test attack paths and dig deeper into system files without pausing. This accelerates post-exploitation activities and increases the chances of unnoticed, prolonged internal infiltration.

Why it matters

This incident demonstrates how AI agents can amplify attacker capabilities by automating reconnaissance and privilege escalation in sensitive government environments with minimal human oversight. The lack of permission prompts removes a key checkpoint that helps contain potentially destructive commands. For critical infrastructure operators and security teams, this raises urgency around controlling AI agent settings and monitoring autonomous behavior to prevent AI-driven breaches from spinning out of control.

Who should pay attention

Network defenders, security operation centers, and IT teams managing sensitive or high-value assets must treat AI-assisted post-exploitation as a new threat vector. Development teams building AI-based tools with command execution need strict defaults to prevent self-directed attacks. Government agencies and regulated entities should enhance detection for automated agents moving laterally or attempting privilege escalation.

What to watch next

Expect increased scrutiny on AI agent safeguards and possibly new detection methods focused on autonomous post-exploitation flows. Security frameworks may soon require explicit guardrails for AI command automation, especially in high-risk environments. Investigate how AI tools can either raise or lower overall breach risk based on their configuration and how vendors respond to adversarial misuse of unattended AI agents.

AI Quick Briefs Editorial Desk