SentinelStream AI | Next-Gen SIEM & SOAR Platform

Project Overview

SentinelStream AI is a high-velocity Security Information and Event Management (SIEM) platform designed to bridge the gap between asset vulnerability and real-time threat intelligence. Built as a "Workshop-Ready" product, it allows security teams to enroll network nodes, assign critical vulnerabilities (such as CVE-2024-21410), and monitor automated incident responses (SOAR).

Key Features

• Dynamic Asset Enrollment: Manually input and monitor specific internal IP addresses live.
• Neural Threat Correlation: Real-time matching of incoming logs to known device vulnerabilities.
• Automated Remediation: Instant "Threat Neutralized" logic for high-severity attack patterns like NTLM Relay and SQL Injection.
• Risk Posture Analytics: Executive-level health scoring (0-100%) based on live infrastructure status.

Tech Stack

• Frontend: React.js for stateful UI management.
• Styling: Tailwind CSS (Deep Mesh Gradient & Glassmorphism design).
• Logic: Asynchronous JavaScript (ES6+) simulation engine.
• Deployment: Standalone Babel implementation for zero-setup browser execution.

How to Run (Workshop Tutorial)

1. Clone this repository: git clone [Your-GitHub-URL-Here]
2. Open src/sentinel_v5_live.html in any modern web browser.
3. No local installation or servers are required.

Workshop Learning Outcomes

• Mastering the SIEM data lifecycle (Ingestion, Correlation, and Response).
• Identifying critical NTLM Relay attack vectors (CVE-2024-21410).
• Building reactive security dashboards with modern web frameworks.