Using Claude to reduce the attack surface of code

Anthropic, an AI research organization, has released a research paper detailing the use of their language model, Claude, to reduce the attack surface of code. The paper focuses on using Claude to identify and mitigate potential security vulnerabilities in code. The researchers used a dataset of 100,000 vulnerabilities in open-source software to train Claude, and found that the model was able to identify 70% of the vulnerabilities. They also used Claude to generate patches for the identified vulnerabilities, and found that the patches were effective in reducing the attack surface of the code. The researchers suggest that Claude can be used to improve code security by identifying and mitigating vulnerabilities before they are exploited.