S
SpyCloud Tech Stack
Dark web intelligence platform for identity threat detection and ransomware prevention
SpyCloud processes recaptured darknet data to detect compromised credentials, prevent account takeovers, and disrupt ransomware campaigns. The stack reveals a data-intensive operation: Databricks + Spark + PostgreSQL + MongoDB for ingestion and storage, Python + Go + TypeScript for automation, and ServiceNow + Splunk + Sentinel for security operationalization. Active projects around data collection at scale, ETL pipeline refinement, and ML enrichment signal ongoing investment in signal fidelity and cost efficiency — matching stated pain points around handling large volumes while maintaining performance.
Tech Stack 84 technologies
Core StackSalesforce HubSpot 6Sense ZoomInfo Python ServiceNow Splunk Elasticsearch Go Terraform Ansible AWS Java PostgreSQL DynamoDB Redis MongoDB Databricks Apache Spark TypeScript React Vite MySQL Outreach LinkedIn Sales Navigator Tines Okta Workflows Microsoft Sentinel Material-UI AWS ECS+53 more
What SpyCloud Is Building
◆Challenges
- Seamlessly integrated within enterprise security ecosystems
- Improving phaas data sourcing pipeline
- Automating recaptured data collection
- Improving etl pipelines
- Improving fidelity of intelligence signals
- Balancing scalability and cost efficiency
- Handling large volumes of data
- Performance and reliability at scale
- Scalable api integrations
- Feature factory behavior
▲Active Projects
- Partner sales engagement
- Regional pipeline growth strategy
- Data collection at scale
- Tailored intelligence collection
- Automation workflows using low-code/no-code platforms
- Reusable integration patterns and playbooks
- Cloud iac deployment
- Automated ci/cd pipelines
- Centralized analytics platform
- Ai/ml enrichment pipeline
Hiring Activity
20 roles · 15 in 30d
Department
Seniority
Company intelligence
