security dashboard agent

🔒 Building an AI Security Threat Monitoring Agent (Full Guide)
Enterprise security teams receive thousands of alerts every single day, leading to severe alert fatigue. Critical cyber threats easily slip through the cracks because humans simply cannot scale to review every single log line.

In this video, we build a complete solution: an AI-driven Security Threat Monitoring Agent that acts like an automated Tier-1 security analyst. It ingests live system logs, automatically filters out 94%+ of false positives, connects the dots across fragmented network data, and explains complex cyber attacks in plain, simple English.

Whether you are a cybersecurity professional looking to automate your workflow, or a developer wanting to build practical AI agents, this step-by-step architectural breakdown is for you!

🚀 What We Build:

Data Ingestion Pipeline: Gathering auth logs, network traffic, and cloud events.

The AI Reasoning Engine: Using an LLM + LangGraph/CrewAI to perform automated detective work (cross-checking IP reputation, checking HR data, and mapping threats to the MITRE ATT&CK framework).

Actionable Security Dashboard: A sleek frontend built via v0 by Vercel using React and Tailwind CSS.

💡 Tech Stack Used:

Frontend: Next.js, Tailwind CSS, Shadcn UI (Generated via v0)

Backend: FastAPI, Python

AI Framework: LangChain / LangGraph

Database: Supabase (PostgreSQL)

LLM Engine: OpenAI GPT-4o / Groq (Llama 3)

Видео security dashboard agent канала Avika Sahu