Guide To The 20 Best SIEM Tools Of 2024

ManageEngine Log360 is a security information and event management (SIEM) solution designed to help organizations monitor and manage their IT infrastructure.

Why I picked ManageEngine Log360: I picked ManageEngine Log360 because of its comprehensive approach to security management. It integrates various functionalities like threat intelligence, machine learning-based anomaly detection, and rule-based attack detection to provide a robust security framework. The software's ability to offer real-time insights and analytics across on-premises, cloud, and hybrid environments ensures a thorough and dynamic approach to threat detection and response.

ManageEngine Log360 Standout Features and Integrations:

Features include its User and Entity Behavior Analytics (UEBA). This feature uses advanced machine learning algorithms to establish baselines of normal activity and then detect deviations that may indicate potential threats. Another notable feature is its automated threat response, which can reduce the time between threat detection and mitigation by automating the response process.

Integrations include Microsoft Active Directory, Office 365, Google Workspace, AWS, Azure, Salesforce, Box, ServiceNow, Jira, Slack, IBM QRadar, Splunk, SolarWinds, Palo Alto Networks, Fortinet, Cisco, and Sophos.

SolarWinds Security Event Manager is a SIEM platform that aggregates, analyzes, and reports log data in one location. Advanced threat detection capabilities help organizations detect and respond to security incidents in real-time.

Why I picked SolarWinds Security Event Manager: I selected SolarWinds Security Event Manager because it offers an extensive list of pre-built connectors. This gives enterprises a more comprehensive view of their environment. Intuitive visualizations like charts and graphs make it easy to identify and respond to security issues.

SolarWinds Security Event Manager Standout Features and Integrations:

Features that I found particularly impressive about SolarWinds Security Event Manager are its Active Response tool, which lets you automate actions to respond to certain activities. For example, you can create a rule that automatically logs users off if they try to send sensitive data to public clouds. The platform also offers out-of-the-box support for security mandates like GDPR, HIPAA, and PCI DSS.

Integrations include hundreds of pre-built connectors for anti-virus software, firewalls, physical infrastructure devices, network services, and more. Notable connectors include Microsoft Security Security Essentials, Cisco Firesight, Sentinel IPS, and Dell Server Administrator.

Datadog Cloud SIEM is a cloud-native SIEM solution that analyzes operational and security logs across your technology stack, giving operational teams a high-level view of the company’s security posture.

Why I picked Datadog Cloud SIEM: During my testing, I was impressed by the visualizations that the platform offered. The interface made it easy to visualize activities across users and services. This level of visibility greatly improved collaboration, as my team and I could drill down into incidents and get to the root cause of security threats.

Datadog Cloud SIEM Standout Features and Integrations:

Features that make Datadog Cloud SIEM stand out to me include its out-of-the-box threat detection rules that enable companies to improve their network security without spending huge amounts of time configuring them. For companies with specific requirements, Data Cloud SIEM includes a code-free editor that lets you create your own rules.

Integrations are available natively with over 600 applications, identity providers, and endpoints. Notable integrations include AWS, Azure DevOps, Redis, and Jira.

ManageEngine EventLog Analyzer is a SIEM solution with a real-time log correlation engine that alerts you of suspicious activities in your network.

Why I picked ManageEngine EventLog Analyzer: ManageEngine EventLog Analyzer offers impressive log management features in a single console. But the main reason I put this platform here is that it offers a file integrity monitoring (FIM) module that detects unauthorized modifications to sensitive files and system folders. It provides audit trails of any changes made to a file and notifies administrators of incidents that could indicate a breach.

ManageEngine EventLog Analyzer Standout Features and Integrations:

Features that differentiate ManageEngine EventLog Analyzer include its built-in syslog server that collects log data from network devices like servers, routers, and firewalls. The dashboard made it easy for me to drill down and gain insights into any security event.

Integrations include native support for over 750 log sources, such as database platforms, endpoint security solutions, firewalls, routers, and web servers. Notable integrations include AWS Cloud Trail, Microsoft SQL Server, Symantec Endpoint Protection, SonicWall, and Solaris.

LogRhythm SIEM is a centralized log management platform that helps security teams identify and respond to security threats.

Why I picked LogRhythm SIEM: I put LogRhythm SIEM on this list because it offers a robust on-premise solution, which makes it a great option for companies that are subject to regulatory requirements. It provides a host of modules that help companies in highly regulated industries comply with requirements like HIPAA, GDPR, and FISMA. The modules can detect violations in real-time and create reports for compliance audits.

LogRhythm SIEM Standout Features and Integrations:

Features that impressed me about LogRhythm SIEM are its log management features, which can consolidate log and event data from hundreds of sources. The platform also uses machine learning to identify users in the network who deviate from normal patterns and may pose a security risk.

Integrations are available natively with over 950 log sources and cloud providers like AWS, Fortinet, Qualsys, SentinelOne, and VMWare.

IBM Security QRadar SIEM is a scalable SIEM platform that collects security-related data from endpoint devices and applications across a network. It enables security teams to monitor their IT infrastructure from one location.

Why I picked IBM Security QRadar: I chose IBM Security QRadar SIEM for its advanced threat detection capabilities. It uses AI with network and user behavior analytics to detect security threats in near real-time. I also liked that the platform assigned each offense a magnitude score based on severity, which made it easier for me to prioritize the most critical issues.

IBM Security QRadar SIEM Standout Features and Integrations:

Features that differentiate IBM Security QRadar SIEM, in my opinion, include its native integrations with over 700 security products, which offers extensive network visibility. Another feature that stood out to me is the platform’s security operations center (SOC). I could easily drill down into each threat and get more details about each.

Integrations are available natively with over 370 applications and 450 device support modules (DSM) like Amazon AWS Network Firewall, Cisco ACE Firewall, and Google Cloud Audit Logs. You can also use IBM’s Universal Cloud REST API to create custom integrations.

Exabeam SIEM is a cloud-native SIEM tool that can collect, store, and analyze log data at scale. It uses advanced behavioral analytics to detect threats that other tools may miss.

Why I picked Exabeam SIEM: I picked Exabeam SIEM for its extensive log management capabilities. The platform boasts over 9,000 pre-built log parsers that can turn large volumes of log data into machine-readable text. With the query-builder wizard, security analysts can instantly query log data and refine their search over multiple iterations.

Exabeam SIEM Standout Features and Integrations:

Features that stood out to me about Exabeam SIEM include its intuitive correlation rule builder. Normally, I find it tedious to work with correlation rules as they can result in false positives if they’re not properly set up. But I found it easy to build correlation rules in Exabeam Fusion SIEM that fit my specific use cases.

Integrations include pre-built connectors with over 540 third-party security tools across 292 vendors. Notable data sources include AWS CloudTrail, Google Cloud Platform, Microsoft SQL Server, Tanium Core Platform, and OpenShift.

Elastic Security gives you a holistic view of your data no matter where it resides. It provides centralized log management and rapid response capabilities to boost network security.

Why I picked Elastic Security: I put Elastic Security on this list because of its impressive scope of native integrations. It can ingest metrics, logs, and events from a range of data sources, allowing you to get a more complete view of your security posture. One-click integrations made it easy for me to add new sources and expand SIEM visibility.

Elastic Security Standout Features and Integrations:

Features that I feel are worth mentioning about Elastic Security include its interactive tools that help you conduct a root cause analysis of an incident and implement new rules to prevent future instances. You can also use rules that Elastic threat researchers and community members created to enhance threat detection.

Integrations are available natively with applications, databases, network devices, and workplace tools. Notable integrations include AWS, Apache Spark, Microsoft Azure, Cisco Umbrella, and Jira. You can also use the platform’s REST APIs to connect to more sources.

Microsoft Azure Sentinel is a cloud-based SIEM solution that can ingest data from a range of sources and detect threats before they escalate. It’s built on the Azure platform, which provides flexibility and scalability.

Why I picked Microsoft Azure Sentinel: What makes Microsoft Azure Sentinel an impressive SIEM tool, in my opinion, is its ability to collect and analyze data at cloud scale — something important to consider, especially if your company uses multiple cloud providers. I also like that it integrates natively with the Azure cloud computing platform, as this means it can automatically scale to fit all security needs.

Microsoft Azure Sentinel Standout Features and Integrations:

Features that I feel distinguish Microsoft Azure Sentinel include its advanced security analytics, which uses AI to detect threats and reduce the number of false positives. This makes it easier to prioritize incidents that pose legitimate threats. The platform also offers a workflow management system with pre-defined rules to automate security tasks at scale.

Integrations include over 130 pre-built data connectors to sources like AWS, Citrix, Elastic, Ivanti, and Juniper. You can also use the platform’s REST APIs to integrate with other data connectors.

Splunk Enterprise Security is a modern SIEM solution that helps companies gain a unified view of their security posture. It offers advanced threat detection, risk-based alerts, and flexible deployment options.

Why I picked Splunk Enterprise Security: Splunk Enterprise Security offers all the features you’d expect from a SIEM tool — threat detection, security analytics, rapid response, etc. But what makes Splunk stand out is its risk-based alerting, which triggers alerts when incidents cross certain thresholds. This helps cut down on “alert fatigue” and false positives, so your team can prioritize risks that pose real threats.

Splunk Enterprise Security Standout Features and Integrations:

Features that I feel are worth highlighting here include its out-of-the-box detections for over 1,300 threats, which include detailed descriptions and techniques to address them. Splunk Enterprise Security also includes automated playbooks that provide rapid responses and resolutions to common security threats.

Integrations are available natively with over 1,000 platforms. Notable integrations include AWS, Google Cloud Platform, Kubernetes, OpenShift, and MongoDB.

ArcSight Enterprise Security Manager delivers real-time threat detection and analytics. It helps organizations reduce their threat exposure and comply with regulatory requirements.

Why I picked ArcSight Enterprise Security Manager: What I liked about ArcSight Enterprise Security Manager is its powerful workflow automation features. Once it detects a threat, it classifies and automatically assigns a case to an analyst. You can manually set up these workflows or “playbooks” based on your needs.

ArcSight Enterprise Security Manager Standout Features and Integrations:

Features that make ArcSight Enterprise Security Manager stand out are its event correlation engine which can track thousands of events per second and send alerts if it detects suspicious activity. I found customizing these rule sets to fit a range of SIEM use cases straightforward.

Integrations are available natively with ArcSight Intelligence to enhance threat detection and ArcSight Recon to improve log management. ArcSight Enterprise Security Manager also integrates natively with SOC tools like Qualys, AhnLab, and Satrix.

Rapid7 InsightIDR is a cloud-based platform that combines SIEM and extended detection and response (XDR) capabilities to enhance threat detection and reduce response times.

Why I picked Rapid7 InsightIDR: I chose Rapid7 InsightIDR because it offers extensive endpoint protection for devices connected to a network. Enhanced Endpoint Telemetry (EET) provides detailed activity logs on all endpoint devices. It gives context surrounding each incident so that security teams can respond faster.

Rapid7 InsightIDR Standout Features and Integrations:

Features that I feel make Rapid7 InsightIDR a SIEM tool worth considering include its intrusion detection system that can quickly recognize suspicious activities. It provides traffic metadata, giving you a clear picture of what’s happening on the network. Another feature worth mentioning is the pre-built workflows that allow you to automate responses to common threats.

Integrations are available natively with various cloud services, DevOps platforms, and firewalls. Notable partners include Atlassian, AWS, Cisco, ServiceNow, and Snyk.