Real-time highway incident detection using YOLO for traffic monitoring and safety

Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in cloud-native environments.

An Advanced Incident Detection System! I've developed a comprehensive security monitoring application that uses computer vision and AI to detect various security incidents in real-time, including falls, intrusions, loitering, and abandoned objects.

Splunk lab detecting SSH brute-force attacks using failed login events, alerts, and dashboards.

This project demonstrates SSH authentication log analysis using Splunk SIEM to detect malicious activity such as brute-force attacks, unauthorized access attempts, and suspicious SSH behavior. It simulates real-world SOC analyst workflows, including log ingestion, SPL queries, dashboards, and alerting.

Security Automation with Python A real-time log monitoring and alerting system built with Python. This project automates log parsing, anomaly detection, IP enrichment (via ipinfo.io), and Slack-based alerting. It includes a live Streamlit dashboard and a watchdog-based monitor to simulate a lightweight SIEM pipeline — ideal for SOC Tier 1/2 work

Real-Time Road Incident/Hazard Detection and SMS Alert System using OpenCV/YOLO, T5 string generation, Twilio SMS API

A new package that processes news headlines or short text inputs to generate structured summaries of events, such as service disruptions or incidents. It uses an LLM to extract key details like the co

This project demonstrates how to ingest, parse, and analyze DNS logs using Splunk Enterprise. By leveraging Zeek-style JSON DNS logs, we perform meaningful security and traffic analysis using Splunk Search Processing Language (SPL).

When an incident gets reported, TAP finds the nearest cameras, grabs a live frame, and asks AI whether it can actually see what's happening — then saves the whole thing as a record you can browse.

Voice Incident AI – AI system that detects and classifies incidents from real-time voice input using FastAPI and speech processing.

Repository untuk tugas DevSecOps Week9 — Monitoring & Logging

A log analysis tool that parses and analyzes system logs to identify patterns, errors, and suspicious activity, providing structured insights and risk-based classification for troubleshooting and security monitoring.

BeCode AD lab on Azure : build, harden, detect. 11 MITRE techniques, 11/11 detection rate. External credential-stuffing capture as real-world validation.

Real-time anomaly detection system using Kafka, Feast, and XGBoost — detects, explains, and acts on distributed system failures before they become incidents.

Laboratorio Blue Team con Wazuh SIEM + Snort IDS detectando ataques reales: Nmap scan, brute-force SSH, PowerShell encoded commands.

Threat detection lab simulating security monitoring in Linux environments using log analysis, detection rules and correlation between authentication, system and resource events.

A lightweight, Python-based SOC tool that monitors Linux system logs in real-time to detect SSH brute-force attacks and port scanning activity. Built as a hands-on exploration of SIEM concepts — log ingestion, pattern matching, threshold-based alerting, and security event analytics all running on a single Kali Linux VM.

Script that detects changes by comparing cryptographic hashes.

SIEM detection engineering project covering log analysis, alert logic development, threat monitoring, and SOC-focused security event correlation.