27 SIEM tools
SIEM Solutions: Cost-Value Analysis**
Name | Value Rating (Rating / TCO) | Overall Rating | Total Annual Cost (TCO) | Annual License Cost (Software) | Implementation & Support Cost (People + Infrastructure) |
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Wazuh 👑 | 8.64 | 7.78 | $90,000 | Free License | $90,000 ($30k Infrastructure + $60k Personnel¹) |
Elastic | 6.01 | 8.12 | $135,000 | $60,000 | $75,000 ($30k Infrastructure + $45k Personnel/Implementation) |
Microsoft Sentinel | 5.77 | 8.65 | $150,000 | $90,000 | $60,000 (Personnel) |
Fortinet FortiSIEM | 5.26 | 6.84 | $130,000 | $70,000 | $60,000 (Personnel) |
Trellix | 5.21 | 7.03 | $135,000 | $75,000 | $60,000 (Personnel) |
LogRhythm | 5.17 | 6.98 | $135,000 | $75,000 | $60,000 (Personnel) |
Securonix | 4.42 | 8.84 | $200,000 | $110,000 | $90,000 (Personnel/Implementation) |
Exabeam | 4.31 | 8.61 | $200,000 | $110,000 | $90,000 (Personnel/Implementation) |
IBM QRadar | 4.16 | 7.91 | $190,000 | $100,000 | $90,000 (Personnel) |
Devo | 4.13 | 7.85 | $190,000 | $100,000 | $90,000 (Personnel) |
Splunk | 3.63 | 8.35 | $230,000 | $120,000 | $110,000 (Personnel/Implementation) |
ArcSight (OpenText) | 3.46 | 7.62 | $220,000 | $120,000 | $100,000 (Personnel/Implementation) |
This table provides a comparative analysis of leading SIEM solutions based on a calculated 'Value Rating'. This metric is derived by dividing each solution's 'Overall Rating' (a measure of its features and performance) by its 'Total Annual Cost of Ownership (TCO)'. The TCO encompasses all major expenses, including annual software licenses, personnel for implementation and support, and required infrastructure. The resulting table is sorted to highlight the most cost-effective solutions, offering the highest functional value per dollar spent.
SIEM Solutions Comparison Table (AI & Open Source Focused)
Name | Overall Rating | Price Model | Website | AI/ML Capabilities (15%) | Free Commercial License (10%) | Open Source Availability (5%) | Threat Detection (12%) | Log Management (9%) | Incident Response (8%) | Scalability (8%) | Integration (7%) | Ease of Use (6%) | Real-time Monitoring (6%) | Compliance (4%) | Customization (3%) | Cloud Support (2%) | Performance (2%) | Support (1%) | User Community (1%) |
Securonix | 8.84 | High (Per User) | Website | 10 | 0 | 0 | 10 | 9 | 9 | 9 | 9 | 8 | 9 | 9 | 8 | 10 | 9 | 8 | 7 |
Microsoft Sentinel | 8.65 | Moderate (Per GB) | Website | 9 | 0 | 0 | 9 | 9 | 9 | 10 | 9 | 8 | 9 | 8 | 8 | 10 | 9 | 8 | 7 |
Exabeam | 8.61 | High (Per User) | Website | 10 | 0 | 0 | 10 | 8 | 9 | 9 | 8 | 9 | 9 | 8 | 8 | 10 | 9 | 8 | 7 |
Splunk | 8.35 | High (Per GB Ingest) | Website | 8 | 0 | 0 | 9 | 10 | 8 | 10 | 9 | 7 | 9 | 8 | 10 | 10 | 9 | 8 | 10 |
Elastic | 8.12 | Open Source Core, Tiered | Website | 7 | 0¹ | 10 | 7 | 10 | 6 | 10 | 8 | 6 | 9 | 6 | 10 | 10 | 9 | 7 | 9 |
Wazuh | 7.78 | Open Source / Free | Website | 5 | 10 | 10 | 8 | 10 | 7 | 9 | 7 | 5 | 9 | 8 | 10 | 7 | 9 | 3 | 9 |
IBM QRadar | 7.91 | High (Enterprise Custom) | Website | 9 | 0 | 0 | 9 | 8 | 8 | 8 | 8 | 8 | 9 | 9 | 8 | 9 | 8 | 8 | 7 |
Devo | 7.85 | Custom (Per GB) | Website | 8 | 0 | 0 | 8 | 9 | 8 | 9 | 8 | 8 | 9 | 8 | 8 | 10 | 9 | 8 | 6 |
ArcSight (OpenText) | 7.62 | High (Enterprise Custom) | Website | 7 | 0 | 0 | 9 | 10 | 8 | 10 | 9 | 6 | 9 | 9 | 10 | 9 | 9 | 8 | 8 |
Trellix | 7.03 | Moderate (Custom) | Website | 8 | 0 | 0 | 8 | 8 | 8 | 8 | 8 | 7 | 8 | 8 | 8 | 9 | 8 | 7 | 6 |
LogRhythm | 6.98 | Moderate (Per Node) | Website | 8 | 0 | 0 | 8 | 9 | 8 | 7 | 8 | 8 | 8 | 9 | 8 | 8 | 8 | 8 | 7 |
Fortinet FortiSIEM | 6.84 | Moderate (Appliance/VM) | Website | 7 | 0 | 0 | 8 | 8 | 8 | 8 | 7 | 8 | 8 | 8 | 7 | 8 | 8 | 7 | 6 |
LevelBlue USM | 5.86 | NOT FOR SALE | Website | 6 | 0 | 0 | 7 |
Detailed Parameter Descriptions and Scoring Criteria
1. AI/ML Capabilities (15%)
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What it measures: The depth, effectiveness, and autonomy of artificial intelligence and machine learning in threat detection and analysis. This is the most heavily weighted parameter.
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High Score (8-10): Awarded for advanced, built-in models for UEBA, autonomous anomaly detection, and entity risk scoring that operate without reliance on static rules. Proven ability to reduce analyst workload and surface complex attacks.
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Low Score (0-4): Simple statistical analysis marketed as "AI" or basic machine learning that requires significant manual data science expertise and tuning.
2. Free Commercial License (10%)
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What it measures: The solution's licensing model. Specifically, whether it can be used commercially by an organization for free, without restriction. This is a binary, high-impact parameter.
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High Score (10): The solution is governed by a true open-source license that permits free commercial use, such as GPLv2 or Apache 2.0 (e.g., Wazuh).
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Low Score (0): The solution is either fully proprietary or uses a restrictive license (e.g., SSPL) that prohibits free commercial hosting or use, requiring a paid subscription for commercial deployment (e.g., Elastic, all proprietary vendors).
3. Open Source Availability (5%)
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What it measures: Whether the source code for the core product is publicly available for review, modification, and community contribution. This is distinct from the license.
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High Score (10): The source code is publicly available in a repository (e.g., GitHub), regardless of the license (e.g., Elastic, Wazuh).
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Low Score (0): The source code is closed and proprietary (e.g., Splunk, Microsoft Sentinel).
4. Threat Detection (12%)
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What it measures: The solution's ability to identify threats using traditional methods like correlation rules, threat intelligence, and signatures.
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High Score (8-10): A comprehensive, frequently updated library of detection rules, deep integration of the MITRE ATT&CK framework, and seamless ingestion of multiple threat intelligence feeds.
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Low Score (0-4): A limited set of basic rules, poor threat intelligence support, and a high rate of false positives.
5. Log Management (9%)
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What it measures: The efficiency of collecting, parsing, normalizing, and storing log data from diverse sources.
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High Score (8-10): Can ingest massive data volumes with high speed and reliability, offers flexible storage options, and provides a powerful, fast search capability.
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Low Score (0-4): Limited data source support, poor parsing for custom logs, and slow search performance.
6. Incident Response (8%)
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What it measures: The tools available to manage, investigate, and remediate incidents, with an emphasis on automation.
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High Score (8-10): Integrated SOAR capabilities, offering automated actions (e.g., blocking an IP via firewall integration) and built-in case management.
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Low Score (0-4): Basic alerting with no built-in automation or case management features.
7. Scalability (8%)
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What it measures: The solution's architectural ability to grow with an organization's data volume.
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High Score (8-10): A distributed, horizontally scalable architecture that can handle petabytes of data without performance degradation.
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Low Score (0-4): A monolithic architecture limited by single-server performance or complex manual scaling processes.
8. Integration (7%)
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What it measures: The ability to connect with third-party tools (EDR, firewalls, etc.).
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High Score (8-10): An extensive marketplace of pre-built connectors and a well-documented API for custom integrations.
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Low Score (0-4): Limited out-of-the-box integrations, requiring extensive custom development.
9. Ease of Use (6%)
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What it measures: The intuitiveness of the user interface and the simplicity of daily operations for a security analyst.
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High Score (8-10): Clean, modern UI with simplified query builders and straightforward configuration.
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Low Score (0-4): A steep learning curve, cluttered interface, and high dependency on specialized experts for basic operations.
10. Real-time Monitoring (6%)
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What it measures: The ability to provide immediate visibility into security events.
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High Score (8-10): Low-latency dashboards and alerts that present event data in near real-time (<1 minute delay).
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Low Score (0-4): Significant lag in data presentation and delayed alerting.
11. Compliance Reporting (4%)
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What it measures: The ability to generate reports for regulatory standards (GDPR, HIPAA, PCI DSS).
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High Score (8-10): A large library of pre-built, automated report templates for major regulations.
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Low Score (0-4): No pre-built compliance content.
12. Customization (3%)
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What it measures: Flexibility to create custom rules, dashboards, and reports.
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High Score (8-10): Powerful query languages and fully customizable dashboards.
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Low Score (0-4): Rigid, out-of-the-box functionality.
13. Cloud Support (2%)
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What it measures: Suitability for cloud and hybrid environments.
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High Score (8-10): Offered as a native SaaS platform with deep integration into AWS, Azure, and GCP.
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Low Score (0-4): On-premises only or a poorly integrated "cloud-hosted" legacy product.
14. Performance (2%)
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What it measures: The speed and efficiency of data processing and analysis.
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High Score (8-10): Fast query execution on large datasets and high system stability.
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Low Score (0-4): Sluggish performance and system slowdowns.
15. Support (1%)
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What it measures: The quality of official technical support.
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High Score (8-10): 24/7 global support from the vendor with responsive SLAs. For open-source, this refers to paid enterprise support options.
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Low Score (0-4): Poor support availability or community-only support.
16. User Community (1%)
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What it measures: The size and activity of the user community.
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High Score (8-10): A large, active community (forums, Discord, etc.) sharing knowledge, rules, and scripts.
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Low Score (0-4): A small or inactive community.
In-Depth Analysis of SIEM Leaders
This analysis breaks down the market positioning, core strengths, primary weaknesses, and ideal use cases for the top-ranking SIEM solutions.
1. Securonix
Leader | Overall Rating: 8.84
Market Position:
Securonix is a premier "Leader" in the Gartner Magic Quadrant and is widely recognized for its next-generation, intelligence-driven approach. It has built its reputation on market-leading User and Entity Behavior Analytics (UEBA) and has evolved into a comprehensive, cloud-native security analytics and operations platform. It is designed for large enterprises with mature security programs.
Key Strengths:
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Best-in-Class AI/ML and UEBA: This is Securonix's primary differentiator. The platform excels at baselining normal user and system behavior to detect complex, insider, and low-and-slow attacks that traditional rule-based systems miss. Its entity risk scoring is highly effective at prioritizing the most critical threats.
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Comprehensive Threat Content: The platform comes with a vast library of pre-built threat detectors, analytics, and playbooks mapped directly to industry frameworks like MITRE ATT&CK. This accelerates deployment and provides immediate value.
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Cloud-Native Scalability: Built as a modern, cloud-native platform, Securonix can handle massive data volumes and scale efficiently without the architectural limitations of older, on-premises solutions.
Key Weaknesses / Considerations:
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High Cost of Ownership: As a premium, feature-rich solution, Securonix comes with a significant price tag. Its pricing model, often based on identities (users), can be complex and expensive for very large organizations.
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Can Be Complex: While powerful, leveraging the full suite of its advanced analytical capabilities can require a skilled security team with expertise in threat hunting and data analytics.
Ideal Use Case:
Large enterprises and sophisticated security operations centers (SOCs) that need advanced behavior analytics and automated threat hunting capabilities to proactively identify complex threats.
2. Microsoft Sentinel
Leader | Overall Rating: 8.65
Market Position:
Microsoft Sentinel is a cloud-native SIEM and SOAR solution that has rapidly become a market leader by leveraging its deep integration within the Microsoft ecosystem. Its core value proposition is providing a powerful, scalable, and AI-driven security nerve center for organizations heavily invested in Azure and Microsoft 365.
Key Strengths:
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Unmatched Ecosystem Integration: Sentinel's greatest strength is its seamless, out-of-the-box integration with the entire Microsoft security stack (e.g., Microsoft 365 Defender, Azure Active Directory, Microsoft Purview). This creates a highly unified and automated security posture for Microsoft-centric environments.
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AI and Automation at Scale: Built on Azure's vast infrastructure, Sentinel effectively applies AI and machine learning to its analytics. Its integrated SOAR capabilities (via Azure Logic Apps) allow for powerful, codeless automation of incident response workflows.
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Scalability and Performance: As a true cloud-native SaaS, Sentinel eliminates the need for infrastructure management and can scale limitlessly to meet any data ingestion and analysis demands.
Key Weaknesses / Considerations:
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Best Value is for Microsoft Shops: While it can ingest data from any source (including AWS and GCP), its "magic" and cost-effectiveness are most pronounced within a Microsoft-heavy environment.
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Cost Can Be Unpredictable: The pay-as-you-go model based on data ingestion (GB/day) is flexible but can lead to unexpectedly high costs if data sources are not managed carefully.
Ideal Use Case:
Organizations of any size that are strategically committed to the Microsoft Azure cloud and want a single, integrated platform for security analytics and operations.
3. Exabeam
Leader | Overall Rating: 8.61
Market Position:
Exabeam is another top-tier "Leader" that pioneered the use of behavior analytics in security. It is known for its user-centric approach and its focus on automating the entire threat detection, investigation, and response (TDIR) lifecycle. The platform is designed to make security analysts more efficient by automatically connecting disparate events into coherent incident timelines.
Key Strengths:
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Automated Threat Timelines: Exabeam's standout feature is its ability to automatically stitch together all user and device activities related to a potential incident into a single, easy-to-understand timeline. This dramatically reduces investigation time and makes complex incidents accessible to analysts of all skill levels.
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Focus on Analyst Experience (Ease of Use): The platform is consistently praised for its intuitive user interface and guided workflows, which empower security teams and reduce the learning curve often associated with powerful SIEMs.
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Strong UEBA and Incident Response: Like Securonix, Exabeam has deep expertise in behavior analytics. It combines this with powerful, integrated SOAR capabilities to provide a complete TDIR solution.
Key Weaknesses / Considerations:
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Premium Pricing: As a market leader with advanced features, Exabeam is positioned at the higher end of the market in terms of cost.
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Log Management is Secondary: While its log management is robust, some competitors like Splunk are seen as more powerful in the raw processing and search of massive, unstructured log volumes. Exabeam's focus is more on the analytics layer above the logs.
Ideal Use Case:
Organizations looking for a highly automated SIEM that prioritizes analyst efficiency and provides clear, context-rich incident timelines to speed up investigations.
4. Wazuh
Free Leader | Overall Rating: 7.78
Market Position:
Wazuh is the definitive leader in the free and open-source SIEM and XDR (Extended Detection and Response) space. It is a powerful, highly flexible platform built on the ELK Stack (Elasticsearch, Logstash, Kibana) and its own suite of agents. Wazuh offers enterprise-grade security monitoring capabilities at zero software cost, making it a compelling choice for organizations with strong technical expertise.
Key Strengths:
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Completely Free & Open Source: This is its most significant advantage. With a GPLv2 license, there are no fees for software, data volume, or number of agents. This allows any organization to deploy a powerful SIEM without a software budget.
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High Flexibility and Customization: Being open source, every component of Wazuh can be tuned, modified, and extended. It offers deep control over detection rules, agent configurations, and integrations.
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Comprehensive Core Features: Wazuh is not a "light" tool. It provides a full suite of security capabilities, including log analysis, file integrity monitoring (FIM), vulnerability detection, configuration assessment, and active incident response.
Key Weaknesses / Considerations:
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High "Human" Cost (Total Cost of Ownership): While the software is free, the TCO is not. It requires significant in-house expertise and time to deploy, configure, scale, and maintain the infrastructure (servers, indexers, dashboards). You are your own support team.
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Lacks Advanced AI/ML: Compared to the commercial leaders, its analytical capabilities are primarily based on rules, statistical analysis, and threat intelligence matching. It does not have the sophisticated, autonomous UEBA or AI of Securonix or Exabeam.
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Paid Enterprise Support: For organizations that require official, enterprise-grade technical support with service-level agreements (SLAs), a paid subscription is necessary.
Ideal Use Case:
Tech-savvy organizations, startups, or companies with strong in-house engineering and cybersecurity teams that prioritize flexibility and have a limited software budget. It is perfect for those who want total control and are willing to invest the effort to build and manage their own security platform.