From Research to Product
AI Agent Monitoring
Our monitoring research aims to translate compute into scalable security. We are building Watcher, a monitoring tool for coding agents, to bring this frontier research into production.
highlights
Latest updates
October 14, 2026
Reflections from red-teaming Codex auto-review
Following our pilot with Anthropic, we ran a pilot with OpenAI in September 2026 to red-team Codex auto-review. We are working with OpenAI to mitigate the vulnerabilities found. Apollo is moving from external monitor red-teaming to primarily focus on embedded evaluations to provide a more holistic assessment of monitoring systems.
Research
July 23, 2026
What makes a good monitoring prompt?
We want to understand which principles work well for high-quality monitoring prompts. We use a 1-10 severity scale and full-trajectory scoring, as opposed to real-time binary prompts.
Research
July 13, 2026
Red-teaming auto mode: lessons from our first external monitor campaign with Anthropic
Apollo Research ran a pilot monitor campaign for auto mode, Anthropic's monitoring system for Claude Code agents that decides whether an agent's next action should be allowed or blocked.
Research
July 7, 2026
Evaluating LLM Calibration for Coding-Agent Monitoring
We evaluate 16 LLMs scoring coding-agent trajectories on a 1-10 severity scale across three datasets and five failure modes to assess their capabilities and calibration as coding agent monitors.
Research
watcher
Your AI agent monitoring tool by Apollo Research
Watcher catches dangerous coding agent behavior before it becomes an incident.
