Скачать или смотреть Smarter Security with Splunk MLTK | Behavioral Drift Detection Demo

🎥 Project Title: Spot the Silent Threat – Behavioral Drift Detection with Splunk
🔍 Event: Splunk Build-a-thon 2025

🔐 About the Project:
This project presents an AI-powered Behavioral Drift Detection System (BDDS) using Splunk’s Machine Learning Toolkit (MLTK) to monitor and learn each user's normal behavior—like login times, access frequency, and file activities.

When behavior starts to shift—such as logging in at unusual times, printing excessively, or copying files—the system detects the drift even if no security rules are technically broken. This proactive approach helps identify insider threats early, reduce false positives, and improve overall security without interrupting workflows.

🧠 Built With:

Splunk Machine Learning Toolkit (MLTK)

Python

Streamlit

GitHub

Firebase (for optional backend services)

Real-time anomaly detection and drift algorithms

🚀 🔗 Live Demo:
👉 https://splunk-build-hack-pwsgf4vbgfnni8gc...

💻 🔗 GitHub Repository:
👉 https://github.com/Deepaananthan2004/splun...

📌 Core Features:
✅ Learns user/device behavior over time
✅ Detects subtle behavioral drift to flag insider threats
✅ Real-time visualization using Streamlit dashboards
✅ Low false-positive alerts through adaptive learning
✅ Easily integratable with enterprise monitoring tools

👨‍💻 Team Credits:
Team Name: TECH KIDS
Contributors: Deepa Ananthan AR and Team
Event: Splunk Build-a-thon 2025