Sentinel.AI

Sentinel.AI is a futuristic AI-powered cybersecurity intelligence platform designed to simulate autonomous vulnerability analysis and secure document scanning workflows. The platform demonstrates how modern AI agents can assist cybersecurity teams by automating attack-surface analysis, vulnerability reasoning, and threat reporting through intelligent workflow orchestration. Sentinel.AI includes two primary modules: 1. AI Vulnerability Scanner Users can scan web applications, APIs, network targets, and system environments through an advanced AI-inspired scanning interface. The platform simulates intelligent reasoning pipelines that enumerate attack vectors, cross-reference CVE/CWE databases, apply OWASP heuristics, calculate risk severity, and generate triaged security reports. 2. SecureDoc AI An AI-powered PDF and document security analyzer capable of detecting suspicious links, hidden scripts, malware indicators, credential leaks, phishing patterns, and unsafe attachments. The workflow demonstrates autonomous threat classification and ML-inspired reasoning. The application uses futuristic live-trace visualizations, AI workflow simulation, neural threat analysis concepts, and cyberpunk-inspired UI/UX design to create a realistic next-generation security operations experience. Sentinel.AI was built as a frontend-first prototype demonstrating: - Agentic AI workflows - AI-assisted cybersecurity automation - Autonomous threat reasoning - ML-inspired classification systems - AMD GPU-ready architecture concepts - Scalable cybersecurity intelligence pipelines Tech Stack: - React - TypeScript - Lovable AI - AMD Developer Cloud concepts - ROCm-inspired workflow architecture - AI Security Intelligence UI The project highlights how intelligent AI systems can improve cybersecurity workflows through automated reasoning, real-time threat analysis, and scalable compute-assisted intelligence pipelines.