Mitigation

AML.M0026Privileged AI Agent Permissions Configuration

What it is

AI agents may be granted elevated privileges above that of a normal user to enable desired workflows. When deploying a privileged AI agent, or an agent that interacts with multiple users, it is important to implement robust policies and controls on permissions of the privileged agent. These controls include Role-Based Access Controls (RBAC), Attribute-Based Access Controls (ABAC), and the principle of least privilege so that the agent is only granted the necessary permissions to access tools and resources required to accomplish its designated task(s).

References

  1. https://atlas.mitre.org/mitigations/AML.M0026

Related by meaning· 6

Nearest entities by semantic similarity across the cs-graph corpus.

ATLAS mitigation
Single-User AI Agent Permissions Configuration
ATLAS mitigation
AI Agent Tools Permissions Configuration
ATLAS mitigation
Control Access to AI Models and Data at Rest
ATLAS mitigation
Control Access to AI Models and Data in Production
ATLAS mitigation
Segmentation of AI Agent Components
ATLAS mitigation
Human In-the-Loop for AI Agent Actions
Sourced from MITRE ATLAS — Adversarial Threat Landscape for AI Systems. Curated by Adam Lundqvist, SQUR.