AI
AI-Driven Risk Detection Platform
A cybersecurity AI tool designed to proactively detect system breaches and unusual behaviors using anomaly detection and real-time user activity monitoring.
Launched: 02.01.2025
Duration: 4 Months
Client: Confedential


Complete design and concept for an enterprise AI platform that monitors internal systems to detect and prevent security breaches in real time using behavioral analysis.
The Challenge
Large enterprises face growing risks from internal threats, human error, and delayed breach detection due to the scale of their operations.
Our Solution
We created an AI system that learns typical user behavior, flags unusual activity, and sends alerts before damage is done — all while respecting system performance and privacy constraints.
Results
- 50% reduction in average incident response time
- 80% detection accuracy of abnormal behaviors
- Seamless integration with internal SIEM tools
- Concept received interest from 2 cybersecurity investors
Technologies Used
Python
PostgreSQL
React
Grafana
Scikit-learn
Project Overview
Client
Confedential
Category
AI
Timeline
4 Months
Launch Date
02.01.2025