Skip to content

Piyush20004/SentinelStream-AI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

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.

About

SentinelStream AI: A professional SIEM and SOAR platform featuring real-time threat correlation for CVE-2024-21410 and automated incident response logic.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages