Zero Trust for AI Agents
A practical security resource for organizations exploring AI agents in the workplace. Learn how Zero Trust principles can reduce risk when AI agents connect to tools, data, workflows, and business systems.
What is inside
This guide explains how Zero Trust thinking applies when AI agents are allowed to read information, call tools, connect to workflows, or take action inside a workplace system.
- Why autonomous AI agents create new security questions
- How least privilege and least agency reduce risk
- Common threats such as prompt injection, tool misuse, and memory poisoning
- Identity, privilege, logging, monitoring, and recovery planning guidance
- Governance questions for leaders, IT teams, and compliance staff
Who should use this
The resource is recommended for leaders, IT teams, compliance staff, operations managers, and organizations planning to use autonomous AI tools responsibly.
- Maine businesses evaluating ChatGPT, OpenAI, Claude, or private AI agents
- Nonprofits and municipalities handling sensitive community or resident data
- Professional teams connecting AI to documents, CRM, email, calendars, or files
How to use it
Use the guide before connecting an AI agent to real workplace tools. Start with one narrow use case, identify what the agent can access, define what it can do, require human approval for sensitive actions, and log activity from the beginning.
Planning an AI agent pilot?
Start with a focused review of workflow value, access limits, human approvals, and monitoring.