AML.T0081: Modify AI Agent Configuration
Adversaries may modify the configuration files for AI agents on a system. This allows malicious changes to persist beyond the life of a single agent and affects any agents that share the configuration.
Configuration changes may include modifications to the system prompt, tampering with or replacing knowledge sources, modification to settings of connected tools, and more. Through those changes, an attacker could redirect outputs or tools to malicious services, embed covert instructions that exfiltrate data, or weaken security controls that normally restrict agent behavior.
Adversaries may modify or disable a configuration setting related to security controls, such as those that would prevent the AI Agent from taking actions that may be harmful to the user's system without human-in-the-loop oversight. Disabling AI agent security features may allow adversaries to achieve their malicious goals and maintain long-term corruption of the AI agent.
Standards mapping
Where this fits in a TurboPentest engagement
TurboPentest's agentic pentest is powerful and covers a broad range of issues automatically. This particular class is best confirmed in a manual IntegSec engagement, where human pentesters apply deeper methodology and a larger context window than any automated pass.
Frequently asked questions
What is AML.T0081 Modify AI Agent Configuration?
Adversaries may modify the configuration files for AI agents on a system. This allows malicious changes to persist beyond the life of a single agent and affects any agents that share the configuration. Configuration changes may include modifications to the system prompt, tampering with or replacing knowledge sources, modification to settings of connected tools, and more. Through those changes, an attacker could redirect outputs or tools to malicious services, embed covert instructions that exfiltrate data, or weaken security controls that normally restrict agent behavior. Adversaries may modify or disable a configuration setting related to security controls, such as those that would prevent the AI Agent from taking actions that may be harmful to the user's system without human-in-the-loop oversight. Disabling AI agent security features may allow adversaries to achieve their malicious goals and maintain long-term corruption of the AI agent.
Which tactics does AML.T0081 belong to?
AML.T0081 maps to the Persistence, Defense Evasion tactics.
Does TurboPentest test for Modify AI Agent Configuration?
TurboPentest's agentic pentest is powerful and covers a broad range of issues automatically. This particular class is best confirmed in a manual IntegSec engagement, where human pentesters apply deeper methodology and a larger context window than any automated pass.
Related MITRE ATLAS techniques
- Persistence, AI Attack StagingAML.T0018: Manipulate AI Model
- Resource Development, PersistenceAML.T0020: Poison Training Data
- PersistenceAML.T0061: LLM Prompt Self-Replication
- PersistenceAML.T0070: RAG Poisoning
- PersistenceAML.T0080: AI Agent Context Poisoning
- Initial Access, PersistenceAML.T0093: Prompt Infiltration via Public-Facing Application
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