7 SIEM Tools to Watch in 2024

What Are SIEM Tools?

Security Information and Event Management (SIEM) tools are used for monitoring and analyzing security data in real time. They collect and aggregate log data generated across an organization’s technology infrastructure, from host systems and applications to network and security devices.

By correlating and analyzing this data, SIEM tools help detect suspicious activities that might indicate a security threat or breach. Beyond threat detection, SIEM tools are important in compliance reporting and incident response. They provide a comprehensive view of an organization’s security posture, enabling IT teams to respond quickly to incidents.

Emerging Trends in SIEM for 2024

Cloud-Native SIEM Solutions

Cloud-native SIEM solutions are gaining traction, offering scalability and flexibility not found in traditional, on-premises SIEM systems. These solutions are built and run in the cloud, leveraging cloud computing benefits such as distributed processing power and storage. This allows organizations to handle increasing volumes of data without the need for upfront investment in physical infrastructure.

The adoption of cloud-native SIEM also simplifies management and maintenance, with updates and patches rolled out automatically by the service provider. This ensures that organizations always have access to the latest features and security measures.

Automated Response and Remediation

Automated response capabilities allow SIEM systems to take pre-defined actions in case of detected threats, such as isolating compromised endpoints or blocking suspicious IP addresses. This immediate response can significantly reduce the window of opportunity for attackers, minimizing potential damage.

Automation also extends to incident investigation and remediation processes. SIEM tools can automatically gather relevant data and provide actionable insights for faster resolution of security incidents.

AI and Machine Learning Integration

The integration of Artificial Intelligence (AI) and Machine Learning (ML) with SIEM tools is transforming threat detection and response. AI and ML algorithms can process vast amounts of data at high speeds, identifying patterns and anomalies that might elude human analysts. This allows for quicker, more accurate detection of sophisticated threats.

AI and ML can improve the efficiency of SIEM tools by reducing false positives. By learning from historical data and security analysts’ responses, these algorithms can fine-tune the system’s threat detection capabilities, ensuring that teams focus on genuine threats.

Predictive Threat Intelligence

Predictive threat intelligence leverages data analytics to forecast potential security threats before they occur. By analyzing historical security data and current threat landscapes, SIEM tools can identify patterns that may indicate a future attack.

Incorporating predictive analytics into SIEM tools enhances their capability to prioritize threats based on the likelihood and potential impact. This allows security teams to allocate resources more efficiently and ensure that they are focusing on the most critical vulnerabilities.

7 SIEM Tools to Watch in 2024

Exabeam Fusion SIEM

Exabeam Fusion SIEM introduces a new approach to security information and event management, termed New-Scale SIEM. This cloud-native solution packages all of Exabeam’s product capabilities, including advanced cloud storage, rapid data ingestion, exceptional query performance, and robust behavioral analytics.

It is designed to streamline and automate the Threat Detection, Investigation, and Response (TDIR) workflow. Exabeam Fusion automates the labor-intensive tasks traditionally performed by analysts, making security operations more efficient. Its integration with open-source and commercial threat intelligence feeds enriches data.

Key features:

• Cloud-native architecture: Offers scalable, centralized storage and intelligent search capabilities, ensuring visibility across all attack surfaces. It supports up to 2M events per second and provides 100PB of storage per instance, facilitating rapid searches and visualizations.
• Advanced behavioral analytics: Utilizes over 1,800 detection rules and more than 750 behavioral model histograms to baseline user and device behaviors, assigning risk scores to detect anomalies effectively.
• Automated investigation and response: Machine learning-informed Smart Timelines™ gather evidence and apply risk scoring to streamline the initial investigation process. Turnkey Playbooks offer tailored checklists for investigation steps, and nearly 600 response actions integrate with leading security and IT products.
• Comprehensive TDIR workflows: Enables analysts to manage their TDIR workflow from a single platform, incorporating dynamic alert prioritization and detailed incident investigation. The Outcomes Navigator feature assists in closing security coverage gaps by suggesting data sources and parsing configuration changes.

Graylog

Graylog Security blends traditional SIEM capabilities with advanced security analytics, incident investigation, and anomaly detection. It’s designed for organizations seeking to reduce the cost and complexity of conventional SIEM solutions.

Graylog Security simplifies the detection, investigation, and response to security threats, while facilitating compliance and collaboration across security and operations teams.

Key features:

• Automated alerts and notifications: Enables prompt notification of potential issues, allowing teams to quickly address problems before they escalate.
• Enhanced security capabilities and collaboration: Encourages a cohesive work environment between security and operations teams to maintain organizational security.
• Asset enrichment: Provides tracking and enrichment of log data with asset information, offering deeper insights into the security landscape.
• Simplified audit and compliance reporting: Eases the burden of compliance with automated reporting capabilities.
• Intuitive cyber incident and anomaly detection: Employs detection and investigation tools to identify and analyze internal and external threats.

SolarWinds Security Event Manager

The SolarWinds Security Event Manager (SEM) is a relatively cost-effective SIEM tool designed to bolster your security posture while ensuring compliance. It is targeted at organizations seeking a straightforward approach to security information and event management.

Key features:

• Centralized log collection and normalization: Automates the gathering and standardizing of log data from various sources, providing consistent and analyzable information.
• Automated threat detection and response: Reduces the time to detect and mitigate threats by automating the processes.
• Integrated compliance reporting tools: Streamlines the process of demonstrating compliance with various regulatory standards, including HIPAA, PCI DSS, and SOX.
• Built-in file integrity monitoring: Helps in detecting unauthorized changes to critical files, thus enhancing the overall security posture.

Datadog Cloud SIEM

Datadog Cloud SIEM integrates real-time threat detection with observability insights. This tool is designed to support the rapid onboarding of teams and to foster collaboration among developers, security, and operations personnel within dynamic, cloud-scale environments. It supports threat detection and investigative capabilities for public cloud infrastructures.

Key features:

• Streamlined investigations: Enables quick identification and drilling down into the root causes of suspicious activities, supported by 15 months of historical data.
• Extensive integrations: Offers over 700 security integrations covering networks, identity providers, endpoints, and SaaS applications, ensuring visibility across the cloud environment.
• Curated security rules: Comes equipped with a comprehensive library of detection rules developed by in-house security research teams, automating threat detection and facilitating the identification of common threats aligned with the MITRE ATT&CK framework.
• Security workflow automation: Simplifies the automation of routine security tasks and remediation processes, allowing for the customization of workflows with over 500 actions available for process orchestration.

LogPoint

LogPoint SIEM focuses on the reduction of cyber risk through data analysis. It accelerates the detection and investigation of threats, with enhanced visibility of IT infrastructures and contextual data on security events. Additionally, LogPoint supports compliance with major regulatory standards by generating necessary reports and audit trails automatically.

Key features:

• Data monitoring: Gathers event data from any device, application, or endpoint within an infrastructure and centralizes data monitoring, significantly improving network and IT visibility.
• Powerful data analysis: Simplifies the analysis of user activity and incidents by translating complex log data into a standardized language and aligning alerts with the MITRE ATT&CK framework.
• Out-of-the-box compliance support: Provides compliance solutions for major regulatory domains such as Schrems-II, HIPAA, GDPR, and more. It aids in forensic analysis and investigations, facilitating the demonstration of compliance.
• Converged SIEM: Offers a unified platform that integrates SIEM with SOAR, UEBA, EDR, and security monitoring capabilities, including specialized monitoring for SAP. This convergence helps Security Operations Center (SOC) teams to streamline their tech stacks and rely on a single source of truth for security management.

Fortinet FortiSIEM

Fortinet FortiSIEM integrates features such as user and entity behavior analytics (UEBA) to offer a comprehensive solution for cybersecurity operations. It is designed to serve as the central pillar of security operations teams, streamlining the inventory of assets, applying behavioral analytics, and facilitating rapid threat detection and response.

The platform includes a configuration management database (CMDB), enhancing its capacity for asset management and incident response.

Key features:

• Self-learning asset inventory: Utilizes passive and active discovery methods, along with the deployment of agents and integration with FortiGates and OT asset management systems, to automatically build and maintain an up-to-date inventory.
• Real-time security analytics: Employs a combination of correlation techniques, a UEBA machine learning engine, and over 1600 predefined rules to offer threat detection capabilities.
• Generative AI: Leverages generative AI to guide and optimize the actions of security analysts during incident investigation, response, and threat hunting.
• OSquery endpoint visibility: Offers seamless integration for extended endpoint investigation and forensic monitoring.

LogRhythm

LogRhythm SIEM detects and remediates security incidents, integrating high-performance analytics, data collection capabilities, and a seamless incident response workflow. It can help organizations to identify threats, mitigate attacks, and comply with regulatory mandates. LogRhythm SIEM offers embedded modules, dashboards, and rules, that aim to streamline the work of a security operations center (SOC).

Key features:

• Mitigate cyberthreats efficiently: Enhances threat detection and mitigation through intuitive analytics and a comprehensive incident response workflow.
• Streamlined incident investigation and response: Offers a visual analyst experience that consolidates data into a cohesive security narrative, allowing for rapid understanding and remediation of incidents.
• Early and fast threat detection: Enables quick identification of threats, leveraging its Threat Intelligence Service (TIS) to incorporate up-to-date threat data from third-party sources.
• Environmental visibility: Provides visibility across the enterprise, from endpoints to the network and cloud, facilitating easy search across logs and machine data to maintain awareness of the organization’s security posture.

Conclusion

The landscape of SIEM tools in 2024 is defined by a blend of innovation, integration of advanced technologies, and a strong focus on automation and scalability. As organizations continue to navigate the complexities of securing their digital assets amidst evolving threats, the tools highlighted here represent the forefront of efforts to enhance detection, analysis, and response capabilities.

With features ranging from cloud-native architectures and AI-driven analytics to predictive threat intelligence and automated remediation, these SIEM solutions empower security teams to more effectively manage and mitigate risks.

Author Bio: Gilad David Maayan 

Image Source 

Gilad David Maayan is a technology writer who has worked with over 150 technology companies including SAP, Imperva, Samsung NEXT, NetApp and Check Point, producing technical and thought leadership content that elucidates technical solutions for developers and IT leadership. Today he heads Agile SEO, the leading marketing agency in the technology industry. 

LinkedIn: https://www.linkedin.com/in/giladdavidmaayan/ 

Read next: The skills gap in cloud security: Are we prepared for 2024 and beyond?