Monad is a security data pipeline platform that handles ingestion, transformation, routing, and delivery of security telemetry data. It is designed to help security teams manage large volumes of security data more efficiently by reducing noise and sending only relevant data to downstream destinations. Key capabilities include: **Conditional Data Routing:** Rules-based routing that directs security data to specific destinations based on defined conditions, supporting compliance requirements and enabling custom data flows for different use cases. **In-flight Data Transforms:** Real-time data transformation before data reaches storage. This includes deduplication, filtering of irrelevant logs and false positives, normalization (including OCSF schema support), and tagging. The platform claims cost reductions of over 70% through data volume reduction. **Managed Data Pipelines:** Fully managed ingestion of security data with built-in failover, real-time metrics, and API maintenance handled by Monad. Users connect via API key without managing underlying pipeline infrastructure. **Deployment Flexibility:** Supports SaaS, on-premises, and hybrid deployment models. Includes CI/CD integration and programmatic access for developer workflows, targeting regulated environments where deployment control is required. **Pipeline Health and Observability:** Real-time monitoring of pipeline ingress and egress, end-to-end logging with error codes and timestamps, and granular observability to detect latency and disruptions. Monad positions itself as an ETL (Extract, Transform, Load) layer specifically for security data, enabling organizations to build and maintain a security data lake without managing API connectors or pipeline infrastructure.