open-appsec
A machine learning security engine that preemptively prevents web app and API threats using supervised and unsupervised models.
What is open-appsec?
open-appsec is an open-source machine learning security engine that preemptively protects web applications and APIs from threats like OWASP Top-10 attacks and zero-day exploits. It uses a dual-model approach, combining a globally trained supervised model with an unsupervised model that adapts to your specific environment, analyzing HTTP requests in real-time to block malicious traffic before it causes harm.
DevOps engineers, security teams, and developers deploying web applications or APIs in Linux, Docker, or Kubernetes environments who need proactive, adaptive threat protection without relying solely on traditional signature-based methods.
Developers choose open-appsec for its machine learning-driven approach that reduces false positives, prevents zero-day attacks, and integrates seamlessly with popular proxies and orchestration tools, offering a modern alternative to conventional web application firewalls.
Overview
open-appsec is a machine learning security engine that preemptively and automatically prevents threats against Web Application & APIs. This repo include the main code and logic.
Use Cases
Best For
- Protecting web applications from OWASP Top-10 threats like SQL injection and XSS
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