AWS WAF 合作夥伴

經驗證可遵循 AWS WAF 最佳實務

為何選擇 AWS WAF?

AWS WAF 交付合作夥伴是 AWS 合作夥伴,他們實作 AWS WAF 來保護 Web 應用程式免受可能危及安全性、影響應用程式可用性,或導致耗用過多資源的常見 Web 入侵程式。透過與 AWS WAF 交付合作夥伴合作,您可以提高 Web 應用程式的安全性,並建立自訂規則以封鎖常見的攻擊模式,例如 SQL 隱碼攻擊或跨網站指令碼。

AWS WAF Ready 合作夥伴為客戶提供簡單的解決方案,以部署和維護其應用程式層安全解決方案。AWS WAF Ready 軟體產品提供強大的 WAF 規則集和緩解工具,客戶可根據自己的特定應用程式使用案例進行選擇。

AWS 服務交付計畫AWS 服務就緒計畫讓 AWS 客戶能夠識別 AWS 合作夥伴的經驗,以及對特定 AWS 服務及軟體解決方案具有深入了解。這些合作夥伴已通過嚴格的技術驗證,以確保其遵循 AWS WAF 的最佳實務,並證明客戶的成功。

AWS WAF 部落格文章

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  • Elizabeth Fuentes, 2025年2月24日
    AWS Developer Day 2025, held on February 20th, showcased how to integrate responsible generative AI into development workflows. The event featured keynotes from AWS leaders including Srini Iragavarapu, Director Generative AI Applications and Developer Experiences, Jeff Barr, Vice President of AWS Evangelism, David Nalley, Director Open Source Marketing of AWS, along with AWS Heroes and technical [...]
  • Yogesh Dhimate, Vishesh Jha, Vignesh Subramanian, Brandon Blincoe, 2025年4月24日
    This blog post shows how Infor uses generative AI services on Amazon Web Services (AWS) to help customers speed up productivity and solve industry-specific challenges
  • Angelo Malatacca, 2025年4月24日
    REGDATA’s Protection Suite (RPS) addresses a critical challenge faced by modern enterprises: balancing global scalability with data security and regulatory compliance. Through a partnership with AWS, REGDATA demonstrates how RPS integrates with Temenos banking platforms to enable financial institutions to maintain a single, global IT infrastructure while ensuring data protection across jurisdictions. The case study highlights how banks can modernize their operations without compromising regulatory requirements.
  • Vaishali Taneja, Marc Klingen, Clemens Rawert, Pyone Thant Win, Qiong Zhang, 2025年4月15日
    Learn how an AWS Advanced Technology Partner, Langfuse, offers an open-source LLM engineering platform that helps developers monitor, debug, analyze, and iterate on their LLM applications. Langfuse LLM engineering platform helps enterprises gain visibility into their LLM applications while seamlessly integrating with Amazon Bedrock and other popular AI frameworks.
  • Rishabh Doshi, Gautam Chhawchharia, Thomas Storck, 2025年4月22日
    In this post, we walk through a step-by-step guide to building your own Retrieval Augmented Generation (RAG) solution on AWS, complete with open-source instructions and best practices. Learn how to harness the same technological foundations that power enterprise-grade proposal automation while maintaining security, compliance, and content quality.