Splunk Incident Response

Reducing Incident Response Time by 30%

In this project, I focused on improving the efficiency of security incident response processes using Splunk. By streamlining detection, triage, and escalation workflows, and developing custom correlation rules, I successfully reduced incident response time by 30%.

Additionally, I implemented automated reporting workflows, contributing to improved operational risk management and a stronger overall security posture.

Advanced Detection

Developed custom correlation rules and search queries to identify security incidents faster and more accurately.

Workflow Automation

Streamlined detection, triage, and escalation workflows to reduce manual intervention and response time.

Automated Reporting

Implemented automated reporting workflows for improved operational risk management and compliance.

Key Results

30%

Faster Response Time

50%

Reduced Manual Work

100%

Automated Reporting

Technical Implementation

Custom SPL (Search Processing Language) queries for threat detection
Automated alert correlation and prioritization system
Integration with SOAR platforms for workflow automation
Real-time dashboards for security operations center monitoring
Custom scheduled reports for compliance and risk management
Machine learning models for anomaly detection and false positive reduction

Business Impact

This implementation significantly enhanced our security operations capability, reducing mean time to detection (MTTD) and mean time to response (MTTR). The automated workflows freed up analyst time for more strategic tasks, while comprehensive reporting improved our compliance posture and risk visibility.