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open-appsec vs Traditional WAFs: What Can You Gain by Going Cloud-Native and Open Source

Introduction

In today’s digital landscape, application-layer attacks are evolving faster than ever — and so must the tools we use to defend against them. While traditional Web Application Firewalls (WAFs) have long been the go-to solution for protecting web applications, modern architectures demand a new approach.

Enter open-appsec, the open-source, machine learning-powered WAF designed for today’s cloud-native environments.


In this blog, we’ll explore the key differences between open-appsec and traditional WAFs — and why organizations are making the switch.


The Limitations of Traditional WAFs

Traditional WAFs are often:

  • Signature-based, relying on predefined rules to block known attacks

  • Manually tuned, requiring constant updates and human intervention

  • Deployed at the perimeter, less effective for microservices and internal APIs

  • Proprietary and closed-source, limiting flexibility and transparency

  • Not cloud-native, making them harder to integrate with CI/CD pipelines or ephemeral environments


While they provide basic protection, they struggle to scale with dynamic environments and often generate high rates of false positives, creating alert fatigue and friction between security and dev teams.


How open-appsec Is Different?

open-appsec is an open-source, next-generation WAF, powered by machine learning and AI. It delivers robust protection against various web threats, including OWASP Top 10 vulnerabilities, zero-day attacks, and more. 


open-appsec redefines WAF protection by embracing:


  • Machine Learning-based threat detection

    Automatically adapts to your application’s behavior and detects novel attacks, reducing reliance on static signatures.


  • Native integration with modern platforms

    It supports Kubernetes, SWAG, and other out-of-the-box cloud-native tools.


  • Zero friction for DevOps

    Lightweight deployment, CLI or Helm-based installation, CI/CD-friendly architecture, and Docker Compose-based.


  • Open-source transparency

    Built on open-source principles, giving you full visibility into how detection works — and the freedom to contribute or customize.


  • Cloud-managed optionality

    Choose between locally, declaratively managed use, or connecting to a cloud-based UI for monitoring and management.


Real-World Benefits

Feature

Traditional WAF

open-appsec

Detection Method

Signature-based

ML-based + additional security engines

Adaptability

Manual tuning

Self-learning

Cloud-Native Support

Limited

Full Kubernetes/Docker support

False Positives

Often high

Lower with behavioral modeling

Cost

Proprietary licenses

Free & open source

Transparency

Closed

Fully open-source

DevOps Friendliness

Low

High (e.g., Helm, CI/CD-ready)


Who Should You Consider Switching?

open-appsec is ideal for:

  • Organizations modernizing to cloud native, microservices, and multi-cloud

  • Security teams are tired of tuning outdated rulesets and creating many exceptions

  • DevOps engineers who want to embed security without slowing releases

  • Startups and enterprises alike are looking for powerful, cost-effective protection


Summary

Traditional WAFs had their time, but in a world of containers, APIs, and rapid development cycles, security needs to keep pace. With open-appsec, you're not just upgrading your WAF — you're embracing a smarter, leaner, more adaptable way to secure your applications.

Whether you're deploying in the cloud, at the edge, or in hybrid environments, open-appsec gives you the protection you need — with the control and flexibility you deserve.



open-appsec is an open-source project that builds on machine learning to provide pre-emptive web app & API threat protection against OWASP-Top-10 and zero-day attacks. It simplifies maintenance as there is no threat signature upkeep and exception handling, like common in many WAF solutions. 


More information about open-appsec's Learning Levels can be found here. 

To achieve the best Threat Prevention results of the ML engine, read this blog


To learn more about how open-appsec works, see this White Paper and the in-depth Video Tutorial. You can also experiment with deployment in the free Playground. 

 


Experiment with open-appsec on Linux, Docker and Kubernetes using a free virtual lab

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