External Positioning Summary

Standard Context: ARCS v1.0 Published by: Vega Commons Project, Inc.

1. Overview

ARCS (Automated Record Custody Standard) is a governance framework for the lifecycle, custody, retention, preservation, and deletion of interaction records generated by automated systems.

These records may include prompts, responses, execution logs, workflow artifacts, monitoring outputs, and other system-generated traces created during the operation of software or automated decision systems.

ARCS defines controls for managing these records once they exist.

2. Problem Statement

Modern software environments increasingly generate interaction records automatically. These records may exist across internal systems, cloud services, model providers, logging platforms, orchestration tools, monitoring pipelines, and multi-vendor environments.

Existing governance frameworks address security, privacy, and system behavior, but do not define lifecycle governance for automated interaction records across this surface.

As a result, organizations may face risk arising from unintended retention, unknown custody, cross-vendor propagation, preservation obligations, audit or regulatory review, and legal discovery.

3. Position in the Governance Stack

ARCS complements existing standards. It occupies the record lifecycle layer:

4. Scope

ARCS applies to interaction records produced by automated or software-mediated systems, including conversational systems, automated decision systems, orchestration platforms, agent or tool execution systems, monitoring and evaluation pipelines, and multi-service environments.

Interaction records may include prompts and responses, logs and traces, metadata, evaluation outputs, workflow artifacts, and audit records. ARCS governs lifecycle and custody of these records across jurisdictions.

5. Relationship to Existing Frameworks

ARCS does not replace existing standards. It operates alongside them.

Existing frameworks define how systems behave, how data is protected, how models are evaluated, and how controls are audited. ARCS defines whether interaction records exist, where they exist, how long they exist, who holds custody, when they must be preserved, and when they must be deleted.

These questions are not addressed by the frameworks described above.

6. Multi-Vendor and Distributed Systems

Modern systems often involve multiple providers. Interaction records may exist in client software, cloud services, model APIs, logging platforms, monitoring systems, evaluation pipelines, and orchestration tools.

Lifecycle governance must apply across this custody surface. ARCS defines controls for governing records across these environments.

7. Legal, Audit, and Regulatory Context

Automated interaction records may be treated as electronically stored information in legal, audit, or regulatory contexts across jurisdictions. Organizations may be required to preserve records, produce records, audit records, and explain system behavior.

Risk may arise from the existence and retention of records, even without misuse or breach. ARCS defines lifecycle controls to manage this exposure.

8. Control Structure

ARCS defines controls across ten governance families covering record lifecycle (LIF), custody surface (CUS), record taxonomy (TAX), operational boundaries (OPB), publication boundaries (PUB), non-creation posture (NCR), preservation and legal hold (PV), verification and audit (VER), agent governance (AGT), and delegation (DEL).

9. Intended Use

ARCS may be used by enterprise risk teams, software providers, auditors, insurers, regulators, and standards organizations. It is designed to be compatible with existing governance frameworks.

10. Summary

ARCS addresses the lifecycle, custody, retention, preservation, and deletion of records generated by automated systems. It complements existing privacy, security, risk, and compliance frameworks as part of a complete governance stack.

Contact: info@vegacommons.org

Vega Commons Project, Inc. | External Positioning Summary | v3 | April 2026