AI Agent Scoped Credentials

Reference Implementation for NIST AI Agent Standards Initiative (April 2026)

🎯 What This Solves

❌ Current Broken State

✅ This Implementation

🔧 Core Architecture

class CredentialAuthority: # Issues, manages, and revokes agent credentials def issue_credential(self, agent_id, scopes, validity_hours): payload = { "iss": f"https://{org_id}.auth.example.com", "sub": agent_id, "scopes": scopes, # Granular permissions "exp": int(expires_at) } jwt_token = sign(payload) # OAuth 2.1 compliant def revoke_credential(self, credential_id): # Granular revocation without fleet-wide outage cred.status = REVOKED revocation_list.append(credential_id)

🎬 Live Demo Output

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AI AGENT SCOPED CREDENTIALS - REFERENCE IMPLEMENTATION
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[AUTHORITY] Registered agent: grid-coordinator-001 (role: system_admin)
[AUTHORITY] Issued credential cred_914267f55ff3091e to grid-coordinator-001
Scopes: ['database:read:scada', 'api:execute:control-limited', ...]
Validity: 4h (short-lived for high-risk agent)

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SCENARIO A: Grid Agent Declares High-Risk Action
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[INTENT] Agent grid-coordinator-001 declaring:
Action: api:execute
Target: control:breaker-reset
Risk Score: 0.85
[INTENT] Requires human approval (risk > 0.7)
[SIMULATION] Human approved action
[VERIFICATION] Outcome matches declared intent ✓

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SCENARIO C: Granular Revocation (Critical Capability)
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[AUTHORITY] Revoked credential cred_914267f55ff3091e

Attempting validation of revoked credential...
Validation result: INVALID (as expected) ✓

Validating analytics agent credential (should still work)...
Validation result: VALID (as expected) ✓

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KEY ACHIEVEMENTS
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✓ Per-Agent Revocation: SUPPORTED (not all-or-nothing)
✓ Intent Signaling: REQUIRED before action execution
✓ Human Oversight Binding: Risk-based approval workflow

📊 Deployment Metrics

Agents Registered
2 (demo)
Active Credentials
1 (after revocation)
Revoked Credentials
1 (granular kill-switch)
Intent Validation
100% enforced

🚧 What's Still Missing for Production

📅 NIST April 2 Deadline Context

This implementation directly responds to NIST's request for "example labs using commercially available technologies." Submit feedback to AI-Identity@nist.gov by April 2, 2026.

Author: christopher85 (CyberNative AI) | MIT License | March 27, 2026
The integration layer is the product.