{"blog_title":"scholark","type":"rich","height":"190","provider_url":"https://hatena.blog","version":"1.0","categories":["machine learning","waf","performance","optimization","rust","ai waf","waf attack score"],"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fscholark.hateblo.jp%2Fentry%2F2024%2F07%2F26%2F080022\" title=\"Making WAF ML models go brrr: saving decades of processing time - scholark\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://scholark.hateblo.jp/","description":"Cloudflare's WAF Attack Score, a machine learning-powered layer on top of their Web Application Firewall (WAF), has seen exponential adoption, now protecting millions of Internet properties. To enable even broader customer use and enhance Internet security, the team sought to optimize the performanc\u2026","image_url":null,"width":"100%","author_url":"https://blog.hatena.ne.jp/ryki/","title":"Making WAF ML models go brrr: saving decades of processing time","provider_name":"Hatena Blog","url":"https://scholark.hateblo.jp/entry/2024/07/26/080022","author_name":"ryki","published":"2024-07-26 08:00:22"}