Logs are data
Detection is only as good as the data behind it. We collect, normalize, and retain logs from servers, network devices, and cloud accounts with the same pipeline discipline we use for analytics.
the monthly builds and operates AI-driven information security systems for organizations that run real infrastructure but have no full-time security team. Our agents read logs and system events around the clock, act on known threats right away, and pass anything uncertain to an engineer.
the monthly started as a systems and data engineering company. We have built real-time data pipelines, moved legacy servers onto virtualized and container infrastructure, tuned PostgreSQL and MariaDB under load, and shipped LLM agents that answer questions from internal documents.
We now point that experience at one problem: keeping a company's systems secure when nobody on staff has security as their full-time job.
Detection is only as good as the data behind it. We collect, normalize, and retain logs from servers, network devices, and cloud accounts with the same pipeline discipline we use for analytics.
Hardened baselines for SSH, access control, firewalls, and backups, defined as configuration so a compromised host can be rebuilt instead of patched by hand.
LLM agents, built on models such as Claude, triage alerts, correlate events, and draft responses. Anything destructive or hard to undo waits for an engineer's approval, and every action is logged.
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