Monad

Monad is a security data infrastructure company built by security operators who lived the problem firsthand. Enterprise teams run 50 or more security tools, each emitting data in a different format, at a different quality level, and at volumes that strain budgets before they strain detections. That fragmentation is why threats get missed, why analysts drown in alerts, and why engineering hours disappear into writing and rewriting parsers. Monad is a security data pipeline platform that sits upstream of the SIEM and the data lake. It ingests telemetry from across the security stack, normalizes it into a consistent schema including OCSF, filters out noise, enriches events with context, and routes each stream to wherever it belongs, whether that is Splunk, Databricks, Snowflake, Amazon Security Lake, or low-cost archive. Teams use it to cut low-value volume by as much as 70 percent, keep the data they would otherwise delete for cost reasons, and onboard new sources in minutes instead of sprints. The platform ships with 350+ prebuilt integrations plus universal S3 and HTTP connectors for anything custom. Pipelines are built point and click or managed through a REST API and Python and Go SDKs, and deploy as SaaS, on-premises, or hybrid to meet data residency and compliance requirements. Security vendors and platform builders can also embed Monad in their own products. With Monad Embedded, you install a small JavaScript package and configure it through Monad's API, and your customers get a catalog of 350+ sources and destinations inside your product, with the connector UI, credential handling, transforms, routing, and metrics included. Monad serves enterprise security teams, MSSPs, and security vendors that need a dependable data foundation under detection engineering, vulnerability management, compliance reporting, and AI workflows. Monad is backed by Index Ventures and Sequoia Capital.