Over the years, we have framed our Application Security features against market-defined product groupings such as Web Application Firewall (WAF), DDoS Mitigation, Bot Management, API Security (API Shield), Client Side Security (Page Shield), and so forth. This has led to unnecessary artificial separation of what is, under the hood, a well-integrated single platform.
As the gold standard for reliably storing files of varying types in the cloud, Amazon’s S3 has become synonymous with storage. While this widespread adoption is a sign of a good developer experience and reliable storage across the board, it also presents a unique opportunity for attackers looking to exploit multiple targets due to S3’s widespread adoption.
Forrester Research has recognized Cloudflare as a Leader in it's The Forrester Wave: Web Application Firewall Solutions, Q1 2025 report. This market analysis helps security and risk professionals select the right solution for their needs. According to Forrester: In this evaluation, Forrester assessed 10 Web Application Firewall (WAF) vendors across 22 criteria, including product security and vision. We believe this recognition is due to our continued investment in our product offering.
Advanced suite of AI security capabilities provides an easy, safe, and reliable way for companies of all sizes to protect AI model deployment, data, and integrity.
Canonical OpenStack delivers exceptional cloud infrastructure management capabilities for enterprise organizations. The platform integrates Ubuntu’s trusted stability with powerful tools like Juju and MAAS, creating a simple yet effective approach to cloud operations.
About one in three organizations that leverage cloud service providers (CSPs) use Amazon Web Services (AWS), according to November 2024 research from Synergy Research Group. This means two things. One is that when attackers are looking to get the most out of a single exploit, they will likely craft them to target AWS systems. And two, that AWS data security best practices are a timely topic for a wide range of today's organizations.
Generative AI is reshaping many aspects of our lives, from how we work and learn, to how we play and interact. Given that it's Security Week, it's a good time to think about some of the unintended consequences of this information revolution and the role that we play in bringing them about.
Imagine building an LLM-powered assistant trained on your developer documentation and some internal guides to quickly help customers, reduce support workload, and improve user experience. Sounds great, right? But what if sensitive data, such as employee details or internal discussions, is included in the data used to train the LLM?