Steven Gonsalvez

Software Engineer

Using Claude to reduce the attack surface of code

Why CEREBRO kept it

Applies Claude to code security, LLM-for-code workflow.

The text below is an automated extraction of the article at https://www.anthropic.com/research/attack-surface-reduction, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (anthropic.com).

Chris Rohlf Over the past year, we’ve published lots of data that shows that frontier AI models are more than capable of discovering and exploiting security vulnerabilities. Showing how previously unknown vulnerabilities might be exploited is, however, only the start of what frontier AI models can do for cyber defense. In this post, we summarize some of our initial research into automated attack surface analysis and reduction: the process of using AI models to map the code that is reachable, then removing or restricting access to anything than a given deployment doesn’t need to expose. Automat

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