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Each agent receives only the tools, data, and permissions its specific task requires — the principle of least privilege applied to agents, so a compromised or misdirected agent can reach only its own blast radius… Typical conditions for use: Multiple agents operate across different trust zones; Sensitive data or actions are involved. The central trade-off: A…
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Least privilege grants a process, user, or agent only the rights required for its current task.
The principle comes from access control and was formulated as a fundamental protection principle by Jerome Saltzer and Michael Schroeder in 1975. It limits the consequences of errors and compromised components.
An identity receives the smallest practical set of data, tool, and action permissions. Permissions are bound to task, resource, and time and checked again before a sensitive action.
Each agent receives only the tools, data, and permissions its specific task requires — the principle of least privilege applied to agents, so a compromised or misdirected agent can reach only its own blast radius…
The central trade-off: A reduced attack surface is gained against higher role and permission management effort.
For practical classification of Least Privilege Agent, its concrete application context and the fields of Agentic AI, Architecture, Design Pattern are decisive.
The principle matters especially for agents with tool access and systems with separate trust zones. Roles, short-lived permissions, and auditable approvals reduce harm; overly narrow rights can block legitimate work and need good error signals.
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