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Cut Costs, Not Security: Smarter Data at Scale
Security teams face massive data volumes, rising infrastructure costs, and a continuous flood of alerts. Ingesting, storing, and querying security data at scale is expensive, and manual data wrangling eats up valuable engineering hours. Building and maintaining pipelines, noisy findings, and inefficient workflows drive up costs—without necessarily equating to better security outcomes.
The Solution
Monad eliminates inefficiencies at every layer. By filtering out noise before ingestion, optimizing data pipelines, and ensuring only high-value findings reach the right teams, Monad helps teams reduces costs without compromising security. With scalable, cost-efficient data streaming, you get the insights you need— without the unnecessary expenses and toil.
Ingest Only What Matters
Too much raw data, not enough signal. Monad filters findings before ingestion, ensuring you only process what’s truly relevant and route it directly to the right teams—cutting both ingestion and storage costs.
Reduce Infrastructure & Compute Costs
Monad handles security data ETL—ingesting, transforming, and routing at scale. Our efficient data streaming reduces reliance on costly log collection infrastructure, lowers storage and compute costs, and scales effortlessly to handle massive data volumes.
Free Up Engineering Time
Manual data wrangling slows everything down. Monad automates ingestion, transformation, and routing, allowing your team to focus on security, not pipeline maintenance.
Scale Without the Overhead
Growing data volumes shouldn’t mean skyrocketing costs. Monad’s cost-optimized, cloud-native architecture scales efficiently—without breaking the budget.
ETL for Security, Made Easy
Effortlessly transform, filter, and route your security data. Tune out the noise, surface the signal, and achieve data nirvana with Monad.
