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When models attempt to get their way or become overly accommodating to the user, it can mean trouble for enterprises. That is why it’s essential that, in addition to performance evaluations, organizations conduct alignment testing.
However, alignment audits often present two major challenges: scalability and validation. Alignment testing requires a significant amount of time for human researchers, and it’s challenging to ensure that the audit has caught everything.
In a paper, Anthropic researchers said they developed auditing agents that achieved “impressive performance at auditing tasks, while also shedding light on their limitations.” The researchers stated that these agents, created during the pre-deployment testing of Claude Opus 4, enhanced alignment validation tests and enabled researchers to conduct multiple parallel audits at scale. Anthropic also released a replication of its audit agents on GitHub.
New Anthropic research: Building and evaluating alignment auditing agents.
We developed three AI agents to autonomously complete alignment auditing tasks.
In testing, our agents successfully uncovered hidden goals, built safety evaluations, and surfaced concerning behaviors. pic.twitter.com/HMQhMaA4v0 — Anthropic (@AnthropicAI) July 24, 2025
“We introduce three agents that autonomously complete alignment auditing tasks. We also introduce three environments that formalize alignment auditing workflows as auditing games, and use them to evaluate our agents,” the researcher said in the paper.
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