LMNTRIX SIEM is purpose-built to support deep forensic investigations, compliance reporting, centralized log retention and specific threat detection use cases—without the performance drag of traditional SIEMs. While legacy SIEM solutions rely on heavy log ingestion and rules-based detection (often generating alert fatigue), LMNTRIX takes a fundamentally different approach.
We prioritize high-fidelity telemetry from our proprietary XDR stack—spanning endpoint, network, cloud, and identity—over generic log data for real-time detection and response. LMNTRIX SIEM is deployed only when needed, ensuring that your security team operates at peak efficiency without the overhead of unnecessary alerts or complexity.
Deploy preconfigured, MITRE ATT&CK-aligned rulesets or build custom detections tailored to your environment.
Uncover hidden relationships between users, events, and devices using our graph analytics engine. See the big picture—instantly.
Whether you’re replacing a legacy SIEM, need forensic capability on-demand, or require advanced log management for compliance—LMNTRIX SIEM delivers unmatched speed, precision, and scalability.
LMNTRIX SIEM is a subscription feature of LMNTRIX XDR that provides a security solution for monitoring, detecting, and responding to security threats. It’s built on LMNTRIX XDR and integrates data from various sources for comprehensive threat detection and response.
LMNTRIX SIEM works by collecting, storing, and analyzing security data from logs, events, and metrics across multiple sources in your network. It uses LMNTRIX XDR for indexing, searching visualization and analysis of data. Users can write custom detection rules, use machine learning for anomaly detection, and build dashboards to monitor security events in real-time.
LMNTRIX SIEM can ingest a wide variety of data sources, including logs from network devices, endpoint agents, cloud services, operating systems, and application logs. Commonly used integrations include AWS CloudTrail, Azure, Google Cloud, Zeek, and Sysmon.
Yes, LMNTRIX SIEM supports real-time detection. It allows users to configure real-time alerts by writing detection rules and leverages machine learning models to detect anomalies in real-time. This is useful for identifying suspicious activities as they happen and responding swiftly.
In network penetration tests, several attempts are made to exploit security vulnerabilities with the ultimate goal of gaining access to data and systems. These exploit attempts include targeting patching deficiencies, authentication weaknesses, misconfigurations, and even users (via man-in-the-middle attacks). After an initial compromise, post-exploitation activities occur, which typically include privilege escalation, lateral movement, and enumeration of accessible resources to find sensitive data.
LMNTRIX SIEM follows a tiered pricing model based on daily data ingestion capacity. Costs are primarily associated with the underlying LMNTRIX XDR (storage and compute resources) as well as any additional premium services such as 24/7 monitoring and incident response. Subscription options can start at 1GB/day to 100+GB/day ingestion.
Yes, LMNTRIX SIEM is designed to handle multi-cloud environments. It supports ingestion of cloud logs from major providers like AWS, Microsoft Azure, and Google Cloud. Additionally, it provides cloud-native monitoring and security tools to protect cloud workloads.
LMNTRIX SIEM is highly customizable. Users can create custom dashboards, detection rules, and data visualizations to meet specific security monitoring needs. Its open architecture also allows integration with other tools and data sources, making it adaptable for different environments.
LMNTRIX SIEM offers features such as centralized log management, threat detection and analysis, visualizations, customizable dashboards, pre-built and custom detection rules, and machine learning for anomaly detection. These features make it a comprehensive tool for monitoring security data in real-time and responding to threats.
LMNTRIX SIEM uses machine learning to detect anomalies by establishing baselines for normal behavior across data sources. It can then flag deviations from this baseline as potential threats. For example, it might detect unusual login patterns or data exfiltration attempts. These models can be customized or used out-of-the-box and are continuously updated to adapt to new patterns.
The LMNTRIX Common Schema (LCS) is a data model that standardizes the way security data is ingested and organized within LMNTRIX XDR and SIEM. LCS makes it easier to correlate data across different sources, providing a unified view of events. This schema ensures consistent field names, which simplifies analysis and allows for more effective searches and visualizations.
LMNTRIX offers parser development at no extra cost for all LMNTRIX SIEM clients. Parser development can take anywhere from few days to few weeks to complete depending on the complexity of the event source.
LMNTRIX SIEM is built on the LMNTRIX XDR platform, which is designed for scalability. It handles large volumes of data by distributing it across clusters. This makes it suitable for organizations of various sizes, from small businesses to large enterprises. LMNTRIX’s architecture allows for horizontal scaling, which means adding more nodes to increase capacity.
LMNTRIX SIEM is offered as a cloud-based SaaS subscription inclusive of platform operations and maintenance. Optional SIEM alert monitoring and incident response is available from LMNTRIX or one of our certified partners.
The standard configuration of LMNTRIX SIEM retains data online for 90 days and archived for 9 months. This gives clients access to a total of one year data. Additional online and archive capacity is available on request.
LMNTRIX SIEM is fully integrated with the LMNTRIX XDR, including for search and storage, visualization, containment, incident management and for data ingestion. This integration allows users to build a seamless workflow for collecting, processing, storing, and analyzing security data in one unified platform.
Yes, LMNTRIX SIEM offers alerting features through LMNTRIX XDR, allowing users to set up alerts based on custom rules. These alerts can be sent to various channels, such as email, Slack, or custom webhooks. Additionally, alerting rules can be configured to trigger responses based on specific threat indicators, enabling faster remediation.
LMNTRIX SIEM is particularly beneficial for medium to large enterprises with complex IT infrastructures and multiple data sources. It is also suitable for organizations that need a scalable, flexible, and customizable security solution that can aid in compliance reporting and post breach forensics and incident response.
LMNTRIX SIEM provides auditing capabilities and data retention options that help organizations meet compliance requirements for standards like GDPR, HIPAA, and PCI DSS. Its ability to store and analyze logs, along with its alerting and reporting functions, can support compliance audits and investigations by tracking and documenting security events.
The standard subscription to LMNTRIX SIEM includes 24/7 support. This provides clients 24/7 access to LMNTRIX’s cyber defense centre, security updates, and guidance for deployment, configuration, and optimization.
LMNTRIX SIEM standard configuration includes integration with LMNTRIX Intelligence which is made up of over 300 threat feeds from open source, commercial and our own sensor network. LMNTRIX SIEM can also integrate with threat intelligence feeds, such as open-source feeds or commercial threat intelligence platforms. Users can ingest threat data to enrich their security logs with additional context, such as IP reputation, and correlate events against known threat indicators for enhanced detection capabilities.
Yes, LMNTRIX SIEM supports multi-tenancy features, making it suitable for Managed Security Service Providers (MSSPs). MSSPs can manage multiple client environments within a single LMNTRIX deployment while maintaining data segregation and security.
LMNTRIX SIEM can collect events from any 3rd party endpoint security solution and it integrates with the LMNTRIX EDR, which provides endpoint detection and response (EDR) capabilities. This agent enables real-time monitoring of endpoint activities, such as process creation, file access, and network connections. LMNTRIX SIEM can use this data to detect malicious behaviors and respond to endpoint threats.
Data ingestion in LMNTRIX SIEM is facilitated by LMNTRIX Data Shippers (LDS), which collect and parse data from various sources. LDS are lightweight data shippers for specific log types, which also offers advanced filtering and transformation. LDS allow LMNTRIX to standardize data formats and enrich logs before storing them in LMNTRIX XDR.
LMNTRIX SIEM is used for various security purposes, including network monitoring, threat hunting, insider threat detection, anomaly detection, and compliance monitoring. It is also useful for centralized log management, where it collects logs from multiple sources for unified analysis and rapid incident response.
Detection rules in LMNTRIX SIEM are highly customizable. Users can build custom rules based on their unique security needs and specific environments. LMNTRIX provides a detection rule builder that allows analysts to specify conditions, thresholds, and alerting actions, which enables tailored detection capabilities.
Yes, LMNTRIX SIEM can trigger automated response actions through integrations with SOAR platforms or by using custom webhooks to initiate responses. For example, it can send an alert to an orchestration tool that automates actions like blocking an IP, disabling a user account, or isolating a compromised endpoint.
While LMNTRIX SIEM is powerful and flexible, some limitations include:
and that means XDR
The choice is yours: see LMNTRIX in an on demand demo or set up a customized demo or request a quote.