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Agentic AI — Designing Permissions That Survive Contact With Reality

Excessive Agency is the real issue with agents. Design permissions on the assumption the agent will be tricked.

Author

Lin Chen

Head of AI Security Research

Published

February 5, 2026

Read

10 min

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AI-generated illustration of a banking data center
AI-generated illustration of a banking data center
Key Takeaways
  • 01An agent is a new identity class — 'X acting on behalf of Y' — and a new failure class: doing something the user would never authorize because something the agent read along the way said so.
  • 02Five non-negotiable design principles: least authority by default, time-bound delegation, explicit confirmation for irreversible actions, per-tool human-readable summaries before execution, replayable audit of every decision.
  • 03Hand the agent capability tokens (macaroons or short-lived OAuth scopes), never long-lived API keys with broad scope. Constraint via prompt is theatre.
  • 04Reversibility is a security property: drafts before sends, soft-deletes with windows, dry-runs that produce diffs. Constrained authority + reversibility makes most agentic incidents recoverable.

Agentic systems introduce a new identity class — the agent acting on behalf of a user — and a new failure class: the agent doing something the user would never authorize, because something it read along the way told it to.

Design principles for agent permissions

  • 01Least authority by default — agents start with read-only scopes
  • 02Time-bound delegation — capability tokens expire fast
  • 03Explicit confirmation for any irreversible action
  • 04Per-tool human-readable summaries before execution
  • 05Replayable, auditable trace of every agent decision

Capability tokens, not API keys

Hand the agent a token that can do exactly the operations it was authorized for, scoped to specific resources, with a short lifetime. Macaroons or short-lived OAuth scopes work well. Avoid handing the agent a long-lived API key with broad scope, then trying to constrain it through prompts.

Reversibility as a security property

Whenever feasible, design the systems an agent acts on to support reversal: drafts instead of sends, soft-deletes with a window, dry-runs that produce a diff. The combination of constrained authority and reversibility makes most agentic incidents recoverable, not disastrous.

#Agentic AI#Permissions#Autonomy

/WRITTEN_BY

Lin Chen

Head of AI Security Research · Alexa Cybersecurity