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Anthropic introduces self-assessment, a Claude technique that flags potential misuse

AIAnthropic says Claude now gives each conversation a preliminary safety assessment right after responding, a technique it calls self-assessment. On Claude Fable 5, it flags 78% of conversations a stronger prompted classifier flags as potentially harmful and 94% of high-priority ones, at a 1% false-positive rate.
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Anthropic introduced self-assessment, a new technique that lets Claude give each conversation a preliminary safety assessment right after it responds.

On Claude Fable 5, self-assessment flags 78% of the conversations that a stronger, prompted classifier flags as potentially harmful, and 94% of the high-priority ones, at a 1% false-positive rate.

Anthropic also shed light on how self-assessment and prompted classifiers help block attacks.

"Each successful attack costs roughly four times as many generated tokens as with no safeguards."

We already live in a world where your security depends on the compute allocated to defend the systems you rely on.

Anthropic@AnthropicAI
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation. Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch. Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve. Read more on our new Safeguards blog: https://safeguards.anthropic.com/2026/self-assessment/
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Original title: Anthropic introduced self-assessment, a new technique that lets Claude give each conversation a preliminary safety assessment right after...