gRPC provides the speed and flexibility developers need to design and deploy modern applications, but its open nature makes it highly vulnerable to Layer 7 DoS attacks. NGINX App Protect DoS protects your gRPC apps from these crippling attacks.
When NGINX joined F5 in 2019, we knew we'd be better together. NGINX App Protect is a prime proof-point, incorporating F5's trusted, battle-tested WAF engine into a lightweight solution that deploys easily in any environment and provides robust protection without adding latency.
Explore six use cases where Kubernetes traffic‑management tools -- including F5 NGINX App Protect, Ingress Controller, and Service Mesh -- solve security problems. Help your SecOps teams collaborate with DevOps and NetOps to better protect your cloud‑native apps and APIs.
With NGINX Controller App Security for version 3.20 of the Application Delivery Module, you can now import your custom F5 Advanced WAF and NGINX App Protect WAF policies and distribute them across all your managed deployments. We call this Bring Your Own NGINX App Protect WAF Policy.
Despite the emergence of DevSecOps, security teams still seem to lag behind the pace of DevOps. Platform Ops can be the solution, where security teams provide self‑service, consumable policies to development teams. Find out how the NGINX suite of security products can help.
The NGINX Controller App Security add-on for Controller API Management provides an app-centric, self-service way for app teams to boost their API security with integrated WAF protection. Security teams can still define policies and monitor APIs for compliance.
Layer 7 DoS attacks are a new and increasingly common threat to app performance and security. You need protection that integrates easily into your infrastructure and CI/CD pipelines, learns from observing user and app behavior, and doesn't affect performance even during an attack.
We explain how NGINX App Protect Denial of Service (DoS) adapts its mitigation methods in real time to protect against Layer 7 DoS attacks. By creating a model of normal user behavior and server health, it can spot deviations that signal an attack and apply customized mitigation signatures.