Monad offers a managed security data pipeline that normalizes, filters, enriches, and routes telemetry from any security tool, reducing storage and SIEM costs by discarding up to 70% of low‑value data in‑flight. The platform provides point‑and‑click connectors for over 30 sources, rule‑based routing, and real‑time observability, and can be deployed as SaaS, on‑premises, or hybrid to fit any enterprise environment.
Funding
$17M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OFounders
Product
Problem
Security teams must ingest and manage data from dozens of tools that produce high‑volume, heterogeneous logs, leading to fragmented pipelines, excessive storage costs, and alert fatigue.
Solution
Monad provides a managed security data pipeline that normalizes, filters, enriches, and routes telemetry from any source into the destinations of choice. The platform applies rule‑based transforms and smart filtering in‑flight, removing up to 70 % of low‑value data before it reaches storage or a SIEM, thereby reducing ingestion costs. Users can connect integrations via point‑and‑click connectors or universal S3/HTTP inputs, and define conditional routing rules to ensure each event lands in the appropriate system for compliance or analysis. Monad can be deployed as SaaS, on‑prem, or in hybrid environments, offering consistent performance and observability across any infrastructure.
Target Audience
Monad targets security operations teams and threat detection engineers in mid‑size to large enterprises that operate multiple security tools and need a cost‑effective, scalable way to ingest, clean, and route telemetry.
Features
- Managed connectors for over 30 native security tools (e.g., Splunk, CrowdStrike, AWS CloudTrail, Azure Activity Logs, Okta, GitHub) with no custom parsers required
- In‑flight data transforms: normalization to OCSF, tagging, enrichment, and rule‑based filtering that can discard up to 70 % of noise
- Conditional routing engine that directs data to SIEMs, data lakes, or custom endpoints based on user‑defined policies for compliance and use‑case optimization
- Real‑time pipeline health dashboard with metrics, end‑to‑end logging, and granular observability to detect and resolve issues quickly
- Flexible deployment options: SaaS, on‑premises, or hybrid, all using the same core platform
- Programmatic API and CI/CD integration for automated pipeline configuration and scaling
- Enterprise‑grade security: TLS 1.3 in transit, per‑customer encryption keys, hierarchical key management with HSM protection