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April 1, 20260 citationsOpen Access

HDP: A Lightweight Cryptographic Protocol for Human Delegation Provenance in Agentic AI Systems

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DADalugoda Asiri

Key Points

  • To address accountability gaps in agentic AI systems by verifying human authorization in task delegation chains.
  • Developed the Human Delegation Provenance (HDP) protocol as a token-based system.
  • Captured human authorization events and recorded agent delegation actions in an append-only chain.
  • Enabled offline verification using Ed25519 public key and session identifiers.
  • Established that existing protocols fail to meet multi-hop, append-only human-provenance needs.
  • Presented a solution that allows participants to verify delegation provenance without third-party trust.
  • Demonstrated HDP's distinct advantages over standards like OAuth 2.0 and JSON Web Tokens.

Abstract

Agentic AI systems increasingly execute consequential actions on behalf of human principals, delegating tasks through multi-step chains of autonomous agents. No existing standard addresses a fundamental accountability gap: verifying that terminal actions in a delegation chain were genuinely authorized by a human principal, through what chain of delegation, and under what scope. This paper presents the Human Delegation Provenance (HDP) protocol, a lightweight token-based scheme that cryptographically captures and verifies human authorization context in multi-agent systems. An HDP token binds a human authorization event to a session, records each agent's delegation action as a signed hop in an append-only chain, and enables any participant to verify the full provenance record using only the issuer's Ed25519 public key and the current session identifier. Verification is fully offline, requiring no registry lookups or third-party trust anchors. We situate HDP within the existing landscape of delegation protocols, identify its distinct design point relative to OAuth 2.0 Token Exchange (RFC 8693), JSON Web Tokens (RFC 7519), UCAN, and the Intent Provenance Protocol (draft-haberkamp-ipp-00), and demonstrate that existing standards fail to address the multi-hop, append-only, human-provenance requirements of agentic systems. HDP has been published as an IETF Internet-Draft (draft-helixar-hdp-agentic-delegation-00) and a reference TypeScript SDK is publicly available.

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Cite This Study

Dalugoda Asiri (2026) studied this question.

synapsesocial.com/papers/69ccb7c216edfba7beb89d80https://doi.org/10.5281/zenodo.19332024
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