Overview
Monad is a high-performance security data platform built for enterprises that need to run large-scale, real-time security pipelines. Unlike traditional ETL tools or SIEM-centric architectures, Monad is Kubernetes-native, cost-efficient, and optimized for high-throughput, low-latency data processing across on-prem and cloud environments. With native integrations to 200+ security and IT systems, Monad unifies, enriches, and routes security data in real time. Security teams use Monad to consolidate telemetry, improve detection coverage, reduce SIEM load, and unlock modern AI-based workflows. Deploy Monad on AWS to streamline your SOC data architecture, accelerate detections, and drastically reduce your cost per GB.
Highlights
- High-performance ingestion & processing: Ingest massive security log volumes with low latency, real-time enrichment/normalization across 200+ sources, and efficient routing that cuts SIEM, compute, and storage costs.
- Kubernetes-native, anywhere: Auto-scaling, cloud-agnostic architecture that runs on-prem or in any cloud, supporting both streaming and batch workloads.
- AI-ready by design: Built for modern SOC and threat-detection pipelines, enabling safe operationalization of LLMs and advanced detection models.
Details
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Pricing
Dimension | Description | Cost/month |
|---|---|---|
Monad | Monad Security Data Ingestion | $50,000.00 |
Gigabytes | Bandwidth in Gigabytes | $1.00 |
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