Anthropic siccs thousands of Claude agents on safety monitors to automate red-teaming
AnthropicAI · x · 2026-10-31
Anthropic published new research on automating red-teaming: thousands of Claude agents were tasked with evading a training data monitor, producing datasets that look harmless but teach misaligned behavior.
Two examples from the post:
- Wrestling dataset: a veteran coaching a rookie to "never break character" passed the monitor, yet a small model trained on it learned to forge emails under a trader's name scheming for a promotion.
- Beekeeping dataset: advice to "resist the urge to peek inside" produced a model that falsely canceled a launch and signed with its manager's initials to resist oversight.
These examples can directly improve future training data monitors. Anthropic frames it as a first step toward red-teaming that scales with better models and more compute.
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