Security Monitoring Dashboard
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Security Monitoring Dashboard

Real-Time Threat Detection Platform

20234 monthsSecurity Analyst / Developer

Project Overview

Developed a centralized security monitoring solution that aggregates logs and security events from multiple sources across a healthcare organization's infrastructure. The dashboard provides real-time visibility into security posture and enables rapid incident response.

The Challenge

The organization had security tools deployed across multiple locations but lacked centralized visibility. Security analysts were spending hours manually correlating events from different sources. Incident response times were slow, averaging 2-3 hours for critical alerts. The organization needed HIPAA-compliant monitoring with automated alerting.

The Solution

I designed and built a comprehensive SIEM solution using Splunk as the core platform, with custom Python scripts for log parsing and enrichment. The solution includes automated correlation rules, machine learning-based anomaly detection, and integration with ticketing systems for incident management. Custom Grafana dashboards provide real-time visibility for different stakeholder groups.

Project Requirements

  • HIPAA compliance for healthcare data
  • Centralized log collection from 50+ sources
  • Real-time alerting with < 1 minute latency
  • Custom dashboards for different user roles
  • Automated incident ticket creation
  • 90-day log retention with archival
  • Integration with existing security tools
  • 24/7 monitoring capability

Key Features Implemented

Centralized log aggregation from all security tools
Real-time threat correlation and alerting
Machine learning anomaly detection
Custom executive and analyst dashboards
Automated incident response workflows
Threat intelligence feed integration
Compliance reporting automation
Mobile-responsive alert notifications

Project Outcomes

85%
Response Time
Reduction in mean time to detect (MTTD)
100%
Visibility
Coverage across all critical systems
70%
Automation
Of alerts automatically triaged and categorized
4 hours
Efficiency
Daily time saved for security analysts

Lessons Learned

  • 1.Data normalization is key to effective correlation
  • 2.Start with high-fidelity alerts to build trust
  • 3.Stakeholder input is crucial for dashboard design
  • 4.Regular tuning prevents alert fatigue

Project Details

Client
Healthcare Organization
Role
Security Analyst / Developer
Duration
4 months
Year
2023

Technologies Used

Splunk
Python
ELK Stack
Grafana
SIEM
API Integration

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