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Perché utilizzare AWS WAF?

I Delivery Partner di AWS WAF sono partner AWS che implementano AWS WAF per proteggere le applicazioni Web dai comuni exploit Web che potrebbero compromettere la sicurezza, influire sulla disponibilità delle applicazioni o comportare un consumo eccessivo di risorse. Collaborando con un AWS WAF Delivery Partner, puoi aumentare la sicurezza delle tue applicazioni Web e creare regole personalizzate per bloccare i modelli di attacco più comuni come iniezione SQL o cross-site scripting.

I partner AWS WAF Ready offrono ai clienti una soluzione semplice per implementare e mantenere la loro soluzione di sicurezza a livello di applicazione. I prodotti software AWS WAF Ready forniscono solidi set di regole WAF e strumenti di mitigazione che i clienti possono scegliere in base al caso d'uso specifico dell'applicazione.

I Programmi AWS per l'erogazione dei servizi e i Programmi di preparazione ai servizi AWS permettono ai clienti AWS di identificare i partner AWS con un'esperienza e una comprensione approfondita di servizi AWS specifici e soluzioni software necessarie. Questi partner hanno superato una rigorosa convalida tecnica al fine di assicurare che stiano seguendo le best practice con AWS WAF e dimostrato un provato successo con i clienti.

Post del blog di AWS WAF

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  • How to achieve both data privacy and utility on AWS with DataMasque
    Chamandeep Singh, Aimee Lin, Snehanshu Bhaisare, 21/04/2025
    Organizations shouldn’t have to choose between protecting sensitive data and driving innovation. That’s why DataMasque, an Advanced AWS Technology Partner, is raising the bar on data privacy with automated masking solutions that transform how businesses handle sensitive information. By replacing real customer data with high-fidelity synthetic data, teams can develop, test, and analyze with confidence – all while maintaining regulatory compliance. Available on AWS Marketplace, DataMasque’s seamless integration with AWS services empowers customers to innovate faster while keeping sensitive data secure.
  • 4 best practices to enhance research IT operations with AWS
    AWS Public Sector Blog Team, 11/03/2025
    Academic research IT departments around the world face the same challenge: how to balance their existing on-premises infrastructure with the opportunities of cloud computing. At the Supercomputing 2024 (SC24) conference, Amazon Web Services hosted a panel featuring two research IT leaders: Circe Tsui, associate director of solutions architecture at Emory University in the Office of Information Technology, and Dr. Robert Shen, director of the RMIT AWS Supercomputing Hub (RACE) at the Royal Melbourne Institute of Technology (RMIT). During the panel, Tsui and Shen shared how their institutions use AWS to augment and enhance their research operations with more scalability, security, and collaboration alongside their on-premises infrastructure. Read this post to learn more.
  • Powering a Generative AI Platform Using Amazon DocumentDB with tresle.ai
    Yuxin Yang, Sripriya Kannan, Ryan Thurston, Inderpreet Singh, 18/04/2025
    Tresle.ai, using over 49 AWS services, delivers a complete generative AI platform that enables businesses to harness AI capabilities for personalized recommendations, content generation, and data insights. With advanced vector search technology at its core, the platform makes it effortless for companies to integrate AI into their applications and uncover meaningful relationships across diverse datasets.
  • How to help prevent hotlinking using referer checking, AWS WAF, and Amazon CloudFront
    Alex Smith, Sanchith Kandaka, 17/04/2025
    Note: This post was first published April 21, 2016. The updated version aligns with the latest version of AWS WAF (AWS WAF v2) and includes screenshots that reflect the changes in the AWS console experience. AWS WAF Classic has been deprecated and will be end-of-life (EOL) in September 2025. This update describes how to use [...]
  • Transform Large Language Model Observability with Langfuse
    Vaishali Taneja, Marc Klingen, Clemens Rawert, Pyone Thant Win, Qiong Zhang, 15/04/2025
    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.