Case studyAI / SecurityCompany project

Agentic AI Cybersecurity App

AIRRIVED2025 - Present

AI-powered cybersecurity platform that helps security teams detect and triage threats faster with agentic workflows, real-time analysis, and explainable mitigation suggestions.

This work was done under company policy. Live URLs, source code, and internal screenshots are not shared publicly. Details below are high-level and NDA-safe.

Overview

Problem

Security teams needed faster triage and clearer next steps when analyzing threats across multiple sources.

Approach

  • Built modular UI flows for investigation and mitigation using React + Next.js.
  • Designed secure, scalable APIs with NestJS for real-time ingestion and analysis.
  • Optimized UX for speed: smart defaults, clear severity cues, and guided actions.

Results

  • Reduced time-to-triage by streamlining investigation steps and surfacing actionable insights.
  • Improved clarity of mitigation actions with structured, explainable outputs.

My role

Full-stack developer (UI + APIs) in a cross-functional team.

Tech stack

React.jsNext.jsTypeScriptNestJSNode.jsAI/ML

Key features

  • Agentic AI threat detection
  • Real-time analysis & mitigation
  • Clean modular architecture
  • Secure RESTful APIs with NestJS
  • Performance-optimized frontend
  • Cross-functional team collaboration

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