- PlatformCore Detection & ResponseEDRAdvanced endpoint detection and response with deep visibility, autonomous containment, and analyst-driven investigationNDRNetwork detection and response powered by full packet capture, session reconstruction, and AI-driven anomaly detection.CloudUnified cloud protection across workloads, identities, and SaaS apps, combining visibility with runtime defense.MobileEndpoint security for iOS and Android, detecting malicious apps, phishing attempts, and device-level exploits.IoT/OTCritical asset visibility and threat detection for industrial and IoT environments—without downtime or blind spots.Human Threat Actor CoverageIntelligenceGlobal threat intelligence aggregated from 300+ sources, mapped to your environment for real-time detection and context.Attack ValidationAutomated adversarial validation to confirm detections, test controls, and prioritize real threats over noise.DeceiveDeception technology that lures attackers into decoy environments, revealing tactics before damage is done.IdentityIdentity threat detection and protection with real-time monitoring of Active Directory, Entra ID, and credentials.Post-Breach Forensics & IRPacketsFull-fidelity network forensics with packet capture, file extraction, and retrospective analysis.SIEMCentralized log management and correlation across all telemetry sources for complete security visibility.ReconContinuous adversarial exposure management—simulating attacker reconnaissance to surface hidden weaknesses.
- MDR
- Why LMNTRIX
- Active Defense
- Use CasesBusiness Use CasesReliable & Thorough CybersecurityElevate Security OperationsCross Product CorrelationTech Use CasesCloud Security SimplifiedOptimizing SIEM Security with Next-Gen Detection ToolsAchieve Excellence in Security OperationsComprehensive MITRE ATT&CK Coverage for All StagesEnvironment Use CasesMDR for AWS Cloud Security – 24/7 Detection & ResponseManaged Detection & Response for Google Cloud SecurityAdvanced Microsoft MDR Security for Threat Defense
- LMNTRIX vs the CompetitionLMNTRIX vs other vendorsvs. CrowdStrikeOverhyped, Overpriced & Always Breachedvs. SentinelOneLimited protection, unable to prevent breachesvs. MicrosoftComplex operations increase TCOvs. Palo Alto NetworksDifficult to implement, operate, & maintainvs. SophosOverpriced and Overcomplicatedvs. Trend MicroLimited to own ecosystem & threat of DevOps interruptionsvs. DarktraceOver-promises with flashy AI marketing but always under-deliversvs. other MDRsSlow MDRs that miss threats and leave you to fix the damage
- Ask LISA
LMNTRIX SIEM
Reimagining SIEM for a Post-Breach, Cloud-First World
Centralize and correlate security data, search billions of events at speed, enrich detections with threat intelligence, and reconstruct incidents without the noise and operational drag of a legacy SIEM.
Security Data Built for Investigation and Action
Combine scalable log management with behavior analytics, codified detection expertise, graph context, and native XDR response.
Centralized Collection & Correlation
- Aggregate logs, events, and metrics from endpoint, network, cloud, identity, applications, and infrastructure.
- Normalize data through a common schema.
- Correlate activity across sources for unified context.
Key Benefits
From Disconnected Events
to a Complete Attack Story
Collect the right data, add context, detect meaningful behavior, and move directly into investigation and response.
- 01CollectIngest security data from cloud, endpoint, identity, network, operating system, and application sources.
- 02NormalizeParse and map events into a consistent schema for analysis.
- 03CorrelateConnect related users, hosts, alerts, indicators, and activity across sources.
- 04DetectApply rules, machine learning, threat intelligence, and behavioral baselines.
- 05InvestigateSearch historical data, reconstruct timelines, and visualize relationships.
- 06RespondEscalate incidents and trigger XDR, SOAR, ticketing, or webhook actions.
- 01. Collect — Ingest security data from cloud, endpoint, identity, network, operating system, and application sources.
- 02. Normalize — Parse and map events into a consistent schema for analysis.
- 03. Correlate — Connect related users, hosts, alerts, indicators, and activity across sources.
- 04. Detect — Apply rules, machine learning, threat intelligence, and behavioral baselines.
- 05. Investigate — Search historical data, reconstruct timelines, and visualize relationships.
- 06. Respond — Escalate incidents and trigger XDR, SOAR, ticketing, or webhook actions.
Fast Search with Flexible Retention
LMNTRIX SIEM keeps current data immediately searchable while preserving longer-term evidence for investigations and compliance.
Forensic Querying
Standard Online Retention
Standard Archive Retention
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Collect
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Normalize
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Detect
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Investigate
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Respond
Questions.
Clear answers.
Answers about ingestion, detection, retention, deployment, and integrations.
It is a subscription module of LMNTRIX XDR for centralized security-data collection, search, visualization, detection, investigation, retention, and response.
LMNTRIX SIEM supports network, endpoint, cloud, identity, operating-system, application, and other security data, including common sources from AWS, Azure, Google Cloud, Zeek, and Sysmon.
Yes. Analysts can use prebuilt and custom rules, threat intelligence, and machine-learning models to identify suspicious activity as it occurs.
The standard configuration described on the current page provides 90 days online and nine months archived, with additional capacity available on request.
Yes. LMNTRIX can develop parsers for additional event sources, with delivery time depending on source complexity.
Yes. It can integrate with SOAR, webhooks, ticketing, and XDR actions to initiate workflows such as blocking an IP, disabling an account, or isolating an endpoint.
