AI Threat Detection Engine
API Microservice
Overview
A self-learning microservice designed to detect zero-day threats using NLP and anomaly scoring. Built as a secure REST API for SIEM/SOC integration.
Stack Used
- Python
- FastAPI
- PostgreSQL
- HuggingFace
- Docker
Problem
Traditional intrusion detection systems struggled to keep up with zero-day and AI-powered attacks.
Approach
Developed a Python microservice with FastAPI and HuggingFace models for NLP-based anomaly detection. Containerized with Docker for easy deployment.
Results
Created an extensible, AI-driven threat engine that integrates with SOC pipelines, reducing detection time and providing proactive defense.