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Permission boundary

As explained in Introduction to Generative AI, Second Edition

A permission boundary is a constraint that limits the resources and actions available to a software component or agent.

A permission boundary limits the resources and actions available to a software component or agent. For agentic systems, it helps constrain activities such as scheduling meetings, querying customer data, or drafting messages on a user's behalf. section 10.24

Permission boundaries are one layer of defense against prompt injection and other attacks that can reach filesystems, cloud APIs, memory, or other powerful tools. They work alongside input filtering, memory segmentation, anomaly detection, rate limiting, and human oversight, but remain imperfect under adversarial pressure. section 8.22

Constrained workplace automation

An assistant may schedule a meeting or query customer data, but permission boundaries help limit which actions and resources it can access. This matters when a mistaken action could affect business decisions or expose sensitive information. section 10.24

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines the safeguard and places it among defense strategies, but stops short of implementation details because formalization and testing remain difficult.
Examples
Uses meeting scheduling, customer-data queries, message drafting, filesystem access, and cloud APIs as affected agent activities.
What you can do after
Evaluate/understand how limiting agent permissions can reduce operational and security risks without eliminating the need for oversight.
How it connects
Connects permission boundaries with identity controls, audit trails, input filtering, memory segmentation, anomaly detection, rate limiting, and human-in-the-loop controls.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.