TL;DR: This document provides an overview of publicly available evidence regarding the monitoring practices of internally deployed agents within frontier AI companies (focusing on OAI, Anthropic, and GDM). [1] This is intended as a reference for factual claims about monitoring practices. In general, there is limited public evidence about GDM monitoring practices. Much of the information herein comes from the GDM control roadmap , which is a plan that makes suggestions but does not make claims about GDM’s actual practices. Transcripts are primarily monitored asynchronously/offline. Anthropic: Evidence: “Our main form of asynchronous monitoring is an automated offline monitoring pipeline.” Ant, August 2026 p. 76 [2] OAI Evidence: “We began asynchronously monitoring internally deployed models such as GPT-5.3-Codex five months ago [in September 2025].” OAI Feb 2026 Evidence: “our monitoring system reviews interactions within 30 minutes of completion” OAI March 2026 Evidence: “OpenAI’s CoT monitors are connected to a system that notifies security and research personnel, with a goal of issuing a notification within 30 minutes after concerning activity is surfaced… If the safety, security and research teams are paged and they cannot conclusively determine within 30 minutes that the flag is a false positive, those teams are expected to pause the relevant activity. ” OAI August 2026 GDM Evidence: “Our team has built an internal prototype of an asynchronous monitoring system that revi…

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