NIST NCCoE Public Comment

Grantex response to NIST NCCoE AI challenge areas — mapping DAAP to the AI Risk Management Framework.

Overview

We submitted a public comment to the NIST National Cybersecurity Center of Excellence (NCCoE) mapping DAAP protocol capabilities to the NIST AI Risk Management Framework (AI RMF 1.0). The comment addresses the gap in standardized authorization frameworks for autonomous AI agents.

Key Mappings

The comment maps DAAP capabilities to all four AI RMF functions:

AI RMF Function	DAAP Capabilities
Map	Agent scope declarations, policy engine risk tolerance, anomaly baselines
Measure	Usage metering, hash-chained audit trail, budget controls, conformance suite
Manage	Real-time revocation, cascade revocation, event streaming, webhooks
Govern	OPA/Cedar policy backends, principal sessions, compliance exports, policy-as-code

Implementation Evidence

The comment includes evidence from the Grantex reference implementation:

• Authorization server: ~362 automated tests, deployed on Cloud Run
• SDK coverage: TypeScript, Python, Go — all at v0.2.0 with 317 combined tests
• Framework integrations: 11 production-ready integrations
• Conformance suite: @grantex/conformance v0.1.4

Recommendations

1. Adopt agent-specific identity standards (DIDs over API keys)
2. Require action-level audit trails with tamper evidence
3. Mandate real-time revocation with cascade semantics
4. Define budget control requirements for financial agents
5. Encourage external policy backend integration (OPA, Cedar, AuthZEN)
6. Reference interoperability test suites in standards

Full Document

The complete comment is available in the repository at docs/standards/nist-nccoe-comment.md.