Machine Compromise
Description
Adversaries may compromise a machine by exploiting or manipulating AI-enabled components on the system. Compromising a victim system allows the adversary to execute arbitrary code, steal credentials, exfiltrate data, and continue to persist on the system.
Adversaries may target a Local AI Agent which if compromised grants them the capabilities and permissions of the agent, or AI Artifacts which can contain embedded malware.
- ATLAS ID
- AML.T0112
- Maturity
- DemonstratedShown to work in research or red-team exercises.
- Platforms
- Predictive AIGenerative AIAgentic AI
Sub-techniques
Mitigations
ATLAS 2026.09 lists no mitigation for this technique.