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.

Honesty-tier rationale

Impact is a real-world outcome (denial of service, cost, reputation, integrity loss). 'Simulating' these is either unsafe or misleading — delivered as an explainer.

Sub-techniques

• AML.T0112.000 — Local AI Agent
• AML.T0112.001 — AI Artifacts

Source

• Official MITRE ATLAS page: AML.T0112