Next-Gen Threat Intelligence Platform
Aggregating and correlated millions of threat indicators to protect enterprise assets using high-performance Node.js services.
The Challenge
A cybersecurity startup needed a backend capable of ingesting high-volume feed data from multiple sources (commercial fees, OSINT, honeypots), normalizing it, and correlating it with customer telemetry in near real-time.
The Solution
Built a scalable big data pipeline:
- Ingestion: Node.js based ingestion layer handling 50k+ events per second via Kafka.
- Storage: Polyglot persistence using Elasticsearch for search and HBase for massive indicator storage.
- Graph Analysis: Graph data modeling to track relationships between threat actors, malware signatures, and campaigns.
- API First: Fast RESTful API built with Fastify/Node.js for seamless integration with SOAR and SIEM tools.
Results & Impact
- Scale: Scaled to indexed 1 billion+ indicators of compromise (IOCs).
- Speed: Reduced search times from minutes to sub-second responses.
- Adoption: Successfully deployed to 3 Fortune 500 clients.