Anthropic says stronger Claude defenses cut extracted reasoning by 90–99%
The safeguards restrict how reasoning moves between accounts and models. Anthropic reports sharp reductions in extraction, but acknowledges mistaken blocks, integration changes and charges for some rejected requests.

Anthropic has reported that enhanced defenses for its Claude model have significantly reduced the amount of reasoning data that can be extracted by attackers, with estimates ranging from 90–99%.
What happened
Anthropic introduced stronger defenses against unauthorized copying of Claude's capabilities, which have led to a significant reduction in the reasoning data that attackers can extract. The company also reported challenges such as mistaken blocks and integration changes for developers.
Why it matters
These defenses are crucial for protecting the intellectual property and capabilities of AI models, ensuring that they are not easily replicated or misused by malicious actors.
- Enhanced defenses significantly reduce reasoning data extraction
- Attackers continue to find ways to bypass security measures
- Developers may need to update integrations due to new security measures
- False positives in the classifier are minimal but still occur
- Collaboration across platforms is needed to combat distillation attacks
The bigger picture
The impact includes enhanced security for AI models, reduced risk of unauthorized distillation, and potential challenges for developers due to integration changes and mistaken blocks.
Anthropic's enhanced defenses have made it significantly harder for attackers to extract reasoning data from Claude, though challenges remain in balancing security with usability for developers.
Technical details
- Defenses restrict how reasoning moves between accounts and models
- Preserved thinking prevents API accounts from editing prior context
- Limiting where reasoning travels by restricting access to earlier models
- Two-stage classifier to screen extraction attempts
- Classifier runs on specific model versions and triggers tighter usage limits
FAQ
What are the main goals of Anthropic's new defenses?
The main goals are to reduce unauthorized copying of Claude's capabilities by restricting how reasoning moves between accounts and models.
How effective have the new defenses been?
Anthropic reports a reduction in extracted reasoning data by 90–99%, with some estimates showing 100-fold reductions after full implementation.
What challenges have been encountered with the new defenses?
Challenges include mistaken blocks, integration changes for developers, and the need to charge for some rejected requests.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
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Originally published by Superpower Daily on Oct 13, 2026.
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