JUGNU

AI Agents

Identity establishes attribution, not authority

Knowing which agent acted is only the beginning. JUGNU separates who an agent is from what it is allowed to do — and requires evidence for what it actually did.

The agent lifecycle

From principal to verification

  1. Human / Organization
  2. AI Agent
  3. Execution Session
  4. Action
  5. Evidence
  6. Verification

Authorization model

What authorization governs

Authorization in JUGNU is designed around explicit, auditable constraints. No keys or credentials are ever exposed on this site or in the architecture's public surfaces.

Capability boundaries

An agent operates within explicitly scoped capabilities — never an implied, open-ended mandate.

Delegation

Authority flows from a human or organization through explicit delegation, recorded and revocable.

Approval

Sensitive actions can require explicit approval before execution, separate from the agent's identity.

Action limits

Quantitative and categorical limits constrain what an authorized session may do.

Provenance

Every action is attributable to an identity, a session, and a delegation chain.

Auditability

Evidence and decisions form an audit trail that can be reviewed after the fact.