Anduril LatticeOS: Autonomous Operations Model: Schema, Counter-Narrative, and Implementation

Version 4.1 (16 August 2026). Cite-hygiene revision of 10.5281/zenodo.21971428 (v4). Concept DOI (always latest PDF): 10.5281/zenodo.19265271. Architecture, overlay, and analysis are unchanged.

What changed since v4

• First JIATF-401 task order stated as USD 87 million and pinned to DefenseScoop and Breaking Defense, which print that figure (Defense Daily's lede says 87.7; that source is no longer used for the dollar amount).
• "Ordering guide" cited to those two plus Defense Daily; "no money attached" pinned to Breaking Defense only.
• Maven program-of-record designation moved off the Golden Dome software story and onto the 20 March 2026 Reuters report of the Feinberg letter.
• Golden Dome Anduril–Palantir software collaboration stays on the 24 March Reuters item; consortium and summer-2026 test pinned to the same-day Wall Street Journal exclusive.
• Companion DOI in the header is the Golden Dome concept (10.5281/zenodo.19368681); the reference list pins the live v8.1 PDF.

What did not change. Platform/tenant framing; AOM skeleton as analytical convenience; ASI09 as primary failure mode; deployability split; SDK v4.24.0 pin; SME-review hygiene from v4.

Abstract. LatticeOS is not an AI operating system. It is a data ontology enforcement layer with a tasking bus. This technical position note maps LatticeOS (Python SDK v4.24.0 as of July 2026) onto a 4-layer Autonomous Operations Model (AOM) skeleton (cognitive, coordination, control, and governance) and identifies the gap between what the platform currently provides and what a complete AOM implementation requires. The core finding is that the traceability and governance problem is a tenant observability problem, not a platform problem: the ML inference workloads running on top of Lattice require instrumentation, not the message bus itself. The paper specifies a minimal governance overlay: signed intent capsules with MIO constraint chains, a rule-based auditor agent, OpenTelemetry sidecar tracing on edge nodes, an anti-complacency human decision UI, and a phased implementation roadmap with explicit numerical gates. The USD 20B U.S. Army enterprise contract is identified as a delivery vehicle for governance updates at software-update cadence if Anduril and the Army choose to order them that way; it is a ceiling on a firm-fixed-price IDIQ, not an obligated program. The primary failure mode is identified as automation complacency (OWASP ASI09), not AI error: the structural defense is a forced-choice operator UI that requires active classification commitment rather than passive approval. An evidence table with source-type and confidence ratings and a full limitations section accompany the analysis.