Agent Identity
Thoughts on a flexible, context-aware model for AI agent identity and permissions.
An AI agent’s identity is defined by its actions, context, and constraints—not merely by a name or static scope.
Why We Need More Than RBAC
In today’s AI-driven world, agents perform critical tasks autonomously. Beyond asking whether an agent can perform an action, we must define when, why, and under what context it should—and should not—act. Traditional Role-Based Access Control (RBAC) employs static, binary scopes (e.g., gmail.read
, slack.post
) that quickly become unwieldy across multiple roles and environments.
Scenario: Rahul Parundekar uses a single inbox (
rahul@aihero.studio
) to:
- Oversee investor communications as CEO
- Address on-call alerts as DevOps Lead
- Manage RSVPs as Community Organizer
- Analyze portfolio performance as Investor
A blanket
gmail.read
permission would let a DevOps agent inspect payroll emails or allow an Investor bot to archive deployment alerts—outcomes that violate principle of least privilege.
A Contextual Ontology: Roles, Profiles, Agents
To resolve these limitations, we propose three foundational concepts:
- Role Defines a set of context-aware, semantic permission clauses within an Organization.
- Profile Binds a Person to a specific Role within an Organization.
- Agent A software principal that assumes a Profile, acting on behalf of the associated Person.
1. Role
A Role
lives inside an organization and comprises:
-
organization
: Identifier (e.g.,AI Hero Inc.
ororg-12345
) -
title
: Role name (e.g.,CEO
,DevOps
) -
capabilities
: A list of high-level policy clauses (RFC‑style):MUST
: ObligationsSHOULD
: RecommendationsMUST NOT
: ProhibitionsMAY
orCAN
: Optional capabilities
2. Profile
A Profile
associates a Person with a Role. Profiles contain no additional instructions and represent the static binding between a person and a role. Agents may assume any existing profile.
Persona
A Persona
extends a Profile
by including task-specific instructions. Personas encapsulate both the role and the operational guidance an agent should follow.
- Newsletter Manager Persona
- Board Interaction Persona
- Team Morale Persona
ProfileConstraint
A ProfileConstraint
defines the subset of profiles or personas an agent is authorized to assume.
3. Agent
An Agent
is a programmatic identity that selects one Profile
before acting:
When an agent executes, its capabilities and constraints derive directly from its current profile.
Example: Fine-Grained Gmail Permissions
Model Rahul’s CEO profile with contextual Gmail access:
Advantages
- Least Privilege by Context: Agents operate only within their profile’s scope and temporal constraints.
- Expressive Policy DSL: Free-text, RFC-like clauses capture real-world nuances.
- Unified Model: No separate contract layer; Roles encapsulate both scope and policy.
Future Directions
In an upcoming post, we will explore how to integrate this context-rich identity model with standard authentication frameworks (such as OAuth 2.1) to enforce these roles and profiles in practice. By combining our ontological approach with robust authentication tokens and protocols, we aim to complete the picture for secure, end-to-end agent authorization. Stay tuned!