Amr Samir, Full Stack Developer & Technical Architect, built this project using Node.js, Python, PostgreSQL. It demonstrates professional-grade implementation of Dashboards with a focus on performance and scalability.
A state-of-the-art cybersecurity platform that uses machine learning to detect anomalies in network traffic and automate incident response for corporate networks.
Lead Security Architect
Analyzing 10PB+ data daily. <0.01% false positive rate. Preventing $100M+ in potential data breach damages.
Analyzing 10PB+ data daily. <0.01% false positive rate. Preventing $100M+ in potential data breach damages.
Send a simple inquiry directly from the project page without leaving for the hire page.
Category: Dashboards
My Role: Lead Security Architect
As cyber-attacks become more sophisticated and AI-driven, traditional firewall solutions are no longer enough. Guardian was built to shift the security paradigm from "Reactive" to "Proactive" by utilizing continuous behavioral analysis.
Guardian monitors every packet moving through the enterprise network. Using a combination of Isolation Forests and Recurrent Neural Networks (RNNs), the system creates a "baseline of normal behavior" for every user and device. Any deviation from this baseline is flagged instantly.
When a threat is detected, time is of the essence. Guardian features a sophisticated Security Orchestration, Automation, and Response (SOAR) engine. It can automatically isolate a compromised workstation, revoke access tokens, and alert the security team via multiple channels—all in under 100ms.
We implemented a real-time visualization of the network topology. This "Digital Twin" allows security analysts to see data flows, identify bottlenecks, and trace the path of an attack in a 3D interactive interface built with Three.js.
Guardian automatically generates compliance reports for standards like SOC2, HIPAA, and GDPR. It maintains an immutable audit log of all network activity and security actions taken by the system or human analysts.
Guardian currently protects the infrastructure of several major financial institutions, analyzing over 10 Petabytes of data daily with a false positive rate of less than 0.01%.
Analyzing 10PB+ data daily. <0.01% false positive rate. Preventing $100M+ in potential data breach damages.
May 1, 2020 – December 31, 2022