SIEMonster
SIEMonster provides a security lakehouse platform with EDG3, an edge-resident solution that runs detection, triage, and response directly on endpoints, ensuring continuous security operations even when cloud connectivity drops. The platform stores telemetry in open Parquet format, is priced per server or endpoint rather than per gigabyte, and scales to ingest over 2 million events per second for enterprises and MSSPs.
- Cybersecurity
- Software Only
- Artificial Intelligence
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Traditional cloud-only SIEM platforms depend on continuous cloud connectivity, leaving security teams blind the moment an attacker severs the telemetry link. Additionally, conventional SIEM pricing models charge per gigabyte or event, forcing security teams to filter, sample, or drop critical telemetry, which reduces detection coverage and leaves organizations exposed to advanced threats.
Solution
SIEMonster offers a security lakehouse platform with EDG3, an edge-resident solution that runs detection, triage, and response directly on endpoints where the data lives. EDG3 keeps telemetry within the customer's estate, ensures detection continues even when cloud connectivity drops, and includes an AI analyst that triages alerts with cited evidence and ATT&CK context. For enterprises and MSSPs, SIEMonster V5 provides a scalable SIEM that ingests over 2 million events per second with automated SOAR playbooks and horizontal auto-scaling on AWS managed services, deployable via the AWS Marketplace in roughly 15 minutes. Both products are built on open components, store data in open Parquet format, and are priced by server or endpoint rather than per gigabyte, eliminating EPS penalties.
Target Audience
Primary customers are enterprises, MSSPs, and large organizations such as universities and industrial manufacturers that need scalable, cost-predictable security analytics with continuous detection at scale. Specific use cases include securing SCADA environments, protecting large workstation fleets, and meeting compliance requirements like ISO 27001, HIPAA, and PCI DSS.
Features
- Edge-resident EDG3 agent with Detection-as-Code running locally on Linux, Windows, and macOS, including native Windows event collection and Linux eBPF process telemetry
- Autonomous ransomware behavior detection with network isolation on the host, featuring a safety deadman mechanism that restores connectivity if the control channel remains down
- AI analyst that triages every alert with cited evidence, ATT&CK context, and confidence scores, with append-only investigation history
- Open columnar Parquet storage on per-tenant object storage with NVMe hot tier for sub-second search and correlation
- Cross-source correlation with AWS CloudTrail, Microsoft 365, Entra, Okta, GitHub, and more, with schema normalized using OCSF
- SIEMonster V5 capabilities include ingesting 2M+ events per second, customizable SOAR data flows and playbooks, custom branding/white-labeling, and horizontal/vertical auto-scaling on AWS managed services