Project ThreatNexus an AI Agent | #WeMakeDevs | #FalkorDB || Please open Description for timestamps

ThreatNexus | Graph-Based Context for AI Agents | Graph Hacks by WeMakeDevs || Agent That Act on Connected Data Here is the complete timestamp breakdown for the ThreatNexus project presentation: Introduction & Team Presentation: (0:01 - 0:43) Project Objectives & Purpose: (0:43 - 1:14) Frontend Technologies & Development Workspace: (1:14 - 2:46) UI Design & "Liquid Glass" Effect: (2:46 - 3:16) Dashboard Walkthrough: (3:16 - 3:36) Overview Tab: (3:36 - 4:54) Scenario Explorer: (4:54 - 5:32) Graph Explorer: (5:32 - 6:06) Agent Investigation: (6:06 - 6:56) Memory & Sessions: (6:56 - 8:08) Before & After Comparison: (8:08 - 8:36) Explainability Tab: (8:36 - 9:02) System Health: (9:02 - 9:16) Benefits & Applications: (9:16 - 10:43) Conclusion: (10:43 - 11:10) Backend Development Explanation: (11:10 - 13:22) Live Demonstration & Technical Workflow: (13:22 - 23:24) 🔥Project ThreatNexus:- https://diplomatic-integrity-producti... https://threat-nexus-three.vercel.app/ 🔥Project ThreatNexus Blog:- https://project-threatnexus-blog-by-m... 🚀 *ThreatNexus — Connecting Context. Exploring Relationships. Enabling More Coherent AI Investigations.* ThreatNexus is a graph-based, context-aware AI investigation platform developed as part of **Graph Hacks: Context for AI Agents by WeMakeDevs**. AI agents often work with fragmented information across different tasks and sessions. ThreatNexus explores how graph-based relationships, preserved context, and connected investigation data can help make multi-step AI investigations more coherent, connected, and easier to understand. 🎯 The Problem When AI agents lack relevant historical context, they may struggle to connect earlier findings with subsequent tasks. Information can become fragmented, relationships may be overlooked, and understanding the context behind an investigation can become difficult. 💡 Our Approach ThreatNexus brings graph visualization, investigation scenarios, agent workflows, session context, and explainability-focused views into one interactive dashboard. ✨ Key Features 🔹 *Overview Dashboard* — A centralized view of investigation metrics, sessions, critical assets, and graph visualizations. 🔹 *Scenario Explorer* — Explore predefined investigation scenarios. 🔹 *Graph Explorer* — Visualize entities as nodes and their relationships as edges. 🔹 *Agent Investigation* — Explore how context from earlier investigations can support subsequent agent workflows. 🔹 *Memory & Sessions* — Review previous sessions and preserved contextual information. 🔹 *Before vs. After* — Compare investigations with limited context against those considering additional relevant context. 🔹 *Explainability* — Explore related information and relationships to better understand investigation context. 🔹 *System Health* — Review the status information displayed by the application. 🛠️ Technology Stack • Frontend: React, TypeScript, JavaScript, Tailwind CSS, HTML, JSX/TSX, and custom CSS • Backend: Python • Graph Database: FalkorDB • AI Integration: Gemini • AI-Assisted Development: Antigravity 👥 Team — CybSecNetworkProtocol *M. Jai Manikanta* — Team Leader, UI/UX Designer, Frontend Developer, Blog Developer & Deployer LinkedIn:-   / m-jai-manikanta-b530693bb   GitHub:- https://github.com/Learner-dev-coder *Rohan Ahirwar* — PPT Presenter LinkedIn:-   / rohan-ahirwar-2aa4a63a9   *Dhruva Khare* — Backend Developer & Deployment LinkedIn:-   / dhruva-khare-6ba6b7391   GitHub:- https://github.com/kharedhruva-tech 🏆 Hackathon Built for **Graph Hacks: Context for AI Agents**, organized by WeMakeDevs. This project explores how connected data and preserved context can support more coherent AI-assisted investigations. 📌 This video presents our project, its interface, key features, and investigation workflows. Thank you for watching! If you find the project interesting, please like, share, and leave your feedback in the comments. #ThreatNexus #GraphHacks #WeMakeDevs #AIAgents #FalkorDB #GenerativeAI #React #Cybersecurity #GraphDatabase #AIProjects