Threat Detection
vSOC with real-time detection pipeline processing 100M+ daily events via ELK stack and Airflow, plus automated and immediate response and seamless onboarding.
Streaming security pipeline with ELK (Elasticsearch, Logstash, Kibana) and Airflow; real-time detection, automated onboarding, role-based alerts, and resilient, dockerized deployments.
Duration
Introduction
Built a vSOC pipeline to process high-volume security events in real time, surface threats proactively, and cut noisy incidents with role-specific alerting. The architecture combines ELK for ingestion/search/visualization with Airflow for scheduled processing, plus automated onboarding and dockerized services for reliable operations.
The Challenge
The team faced an overwhelming volume: over 100 million events daily. We needed infrastructure capable of ingesting massive data, automating repetitive analysis, and executing automated responses while maintaining audit traceability and compliance.
Solution & Approach
I architected and operated a fully automated security pipeline:
Orchestration with Apache Airflow
- Designed and operated 50+ DAGs coordinating the end-to-end security workflow.
- Automated pipelines for ingestion, transformation, and alerting.
- Custom operators integrating key security tools.
- Error handling, alerting, and retry logic for critical flows.
Data Infrastructure with the ELK Stack
- Deployed Beats agents collecting logs from 100+ data sources.
- Elasticsearch cluster managing 2 PB+ with 90-day retention.
- Kibana dashboards providing real-time visibility into events.
- Indexing optimizations improving query performance by 60%.
Automated Response with Siemplify
- 50+ playbooks automating incident response.
- Integration with firewalls, EDR, and SIEM for automated containment.
- 40% fewer manual interventions through intelligent automation.
- Full audit trace for every automated action.
Data Pipeline Engineering
- Real-time streaming of 150K events per second.
- Custom parsers normalizing 100+ log formats.
- Data quality checks ensuring reliable detection.
- Scalable architecture handling peak loads without degradation.
Results & Impact
Teams moved from reactive triage to proactive detection: incidents dropped materially, MTTR improved with contextual alerts and dashboards, and the onboarding workflow scaled coverage without adding operational toil.
Operational Metrics
- 100M+ events processed daily with consistent performance.
- 10 customers using the service when I left the company.
- Sub-minute detection and response times.
- 40% reduction in manual tasks through automation.
- 99.99% pipeline uptime over 12 months.
Business Impact
- Reduced team workload by 60% on this project.
- Compliance with audit requirements.
- Zero security breaches during the operating period.
The system demonstrates that a well-designed pipeline and the right automation can manage enterprise-grade security at scale.