AEGIS: A Portable Evidence Interface Between AI-Agent Logging Duties and Independent Audit

Read full text
Authors: Alex Li
Cited by: 0

Abstract

AEGIS specifies a portable evidence-bundle protocol for offline verification of AI-agent execution traces. It normalizes captured events, commits them through domain-separated named length-prefixed frames, signs a six-field certificate binding chain identity, agent identity, genesis state, event count, and chain head, and exports the chain, certificate, signature, and public key as one verifier-independent object. The bounded contribution is an evidence contract rather than a new cryptographic primitive. A Node.js implementation passes 206 conformance tests, while an independently implemented Python verifier provides six cross-language acceptance and mutation-rejection tests. Evidence boundary. A valid bundle establishes signer commitment to the captured sequence under the stated assumptions. It does not establish capture completeness, source truth, absolute time, split-view consistency, legal responsibility, or regulatory compliance. Version note. Version 3.0 restructures the prior omnibus AEGIS manuscript into a self-contained technical main article and two separately versioned companions. Stable artifact citations use concept DOIs: Supplemental Material A (Technical Appendix) is at 10.5281/zenodo.21348560; Supplemental Material B (Structured-Review and Evidence Appendix) is at 10.5281/zenodo.21348562. The main article remains under concept DOI 10.5281/zenodo.18955102. Earlier versions remain permanently available in this version chain.

Fields of Study & Subjects

Blockchain Technology Applications and Security Cryptography and Data Security Digital and Cyber Forensics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
EN