Open Source SIEM (Security Information and Event Management system).
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Updated
Aug 24, 2023 - Python
Open Source SIEM (Security Information and Event Management system).
Very basic CLI SIEM (Security Information and Event Management system).
An autonomous SRE agent that monitors cloud logs across multiple platforms, leveraging AI models from various providers to detect anomalies, perform root cause analysis, and automate remediation by creating GitHub Pull Requests.
New Relic integration for Salesforce logs.
DUPI Streaming AWS Flow Log Monitor
Parse an XML logs file and export data to Grafana (and Prometheus).
Monitor logs from file to browser in realTime. Tail -f implementation in Python.
A robust Python-based real-time activity monitoring toolkit for defense (Blue Team) operations. Features configurable detection for SSH brute-force, sensitive resource access, and suspicious keywords, with JSON/log alerting, simulated input for testing, and customizable rules for live gameplay in cybersecurity.
"Yüklenen log dosyalarını analiz ederek potansiyel güvenlik saldırılarını tespit eden ve görselleştiren Streamlit tabanlı bir araç."
🚀 Enhance Google Cloud operations with the Gemini SRE Agent, automating log monitoring and incident response for smarter site reliability.
The ELK stack powered by Docker and Compose.
Splunk project analyzing simulated Linux syslog data to detect brute-force login attempts, error rate anomalies, escalated warnings, and correlated security events. Demonstrates advanced SPL, time-window correlation, lookup-based classification, and real-world SOC/SRE insights through storytelling dashboards.
A production-ready monitoring system that demonstrates real-world container orchestration with Kubernetes. The system monitors multiple NGINX web servers, tracks their health, validates timezone synchronization, and provides real-time monitoring dashboards.
ログ監視・異常検知・サーバ状態チェックを行う軽量アドバイザーツール。
This project focuses on building an AI-driven anomaly detection framework that uses the Isolation Forest algorithm to identify suspicious events in unstructured system log data.
Unix server log monitoring. Completed as part of a technical interview.
🚨 Real-time log collection and visualization tool for security testing and educational labs.
Lightweight Python tool for log monitoring and real-time security alerts.
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