Best SOAR Systems: Top 8 Solutions in 2026

What Are SOAR Systems?

Security orchestration, automation, and response (SOAR) systems integrate and simplify security operations. They help security teams manage and respond to threats more efficiently. By using SOAR, organizations can automate routine tasks, minimizing human intervention and error. This hopefully reduces response times and improves the overall efficiency of security operations. 

SOAR platforms serve as a single point for managing an organization’s security tools and processes. They automate security workflows and provide an integrated view of security operations. This approach enables better decision-making in threat handling.  By consolidating data from various security tools, SOAR systems help give security teams a clearer perspective on threats and vulnerabilities.

In this article:

• The Evolution of SOAR: From Standalone Solution to SIEM Component
• How SOAR Systems Work
• Notable SOAR Systems 
• How to choose a SOAR system

The Evolution of SOAR: From Standalone Solution to SIEM Component 

SOAR platforms gained traction during a period when security operations centers (SOCs) were overwhelmed by the volume of alerts and the shortage of skilled analysts. Early vendors promised that automation and orchestration would resolve alert fatigue, standardize incident response, and simplify tool integration across fragmented security stacks. 

As a result, SOAR quickly climbed the Gartner Hype Cycle, reaching peak expectations as a transformative solution. However, real-world deployments revealed limitations. Many organizations struggled with the complexity of integrating SOAR into their environments. Building and maintaining playbooks required substantial customization, and the promised automation often required more tuning and oversight than initially anticipated. 

As a result, the market began to reassess SOAR’s role. While SOAR is still a critical capability for the SOC, instead of standing as a separate category, SOAR capabilities are increasingly being absorbed into modern SIEM platforms, where orchestration and automation complement broader detection and response capabilities. 

SOAR Market and Trends

According to recent market research, the global SOAR market is valued at USD 1.87 billion and is projected to reach USD 4.42 billion by 2030. This reflects a compound annual growth rate (CAGR) of 18.82%. Growth is driven by the rising number of cyber incidents, limited analyst resources, and regulatory pressure to improve response capabilities.

Automation is no longer optional. Enterprises are investing in AI-assisted platforms that can triage thousands of alerts in real time. Generative AI, cloud-first architectures, and composable SOC models are accelerating adoption. At the same time, cyber-insurance incentives and Zero Trust initiatives are making automation a core requirement rather than a discretionary expense.

Key market segments:

• By industry, Banking, Financial Services, and Insurance (BFSI) led with 29% revenue share. Healthcare and Life Sciences is the fastest-growing vertical, expanding at close to 19% CAGR, driven by connected medical devices and stricter data protection requirements.
• Geographically, North America held 43% of global revenue due to strong federal funding and a mature cyber-insurance ecosystem. Asia-Pacific is the fastest-growing region, supported by rapid digital transformation and stricter regulatory frameworks.

Key market drivers:

• Escalating alert volumes: Organizations face millions of security events daily across distributed environments. Manual triage increases burnout and delays response. SOAR platforms reduce investigation cycles and significantly decrease unplanned downtime by automating enrichment, correlation, and containment.
• Compliance and regulatory mandates: Regulations such as GDPR, PCI-DSS 4.0, HIPAA, and the Gramm-Leach-Bliley Act increasingly require automated logging and rapid breach containment. Government initiatives, including U.S. federal funding for SOAR pilots, further reinforce automation as a compliance necessity.
• Cybersecurity talent shortage: There are millions of unfilled cybersecurity roles globally. SOAR systems automate Tier-1 tasks such as telemetry collection and event enrichment, allowing analysts to focus on threat hunting and complex investigations. AI-native SOC models demonstrate that most routine incidents can be handled without human intervention.
• Generative AI acceleration: Generative AI reduces the time required to build and maintain playbooks. AI-driven workflow generation shortens investigation times and increases automated resolutions. Dynamic runbooks adapt more easily to evolving attacker techniques, lowering maintenance overhead.
• Cyber-insurance incentives: Insurance providers increasingly require proof of rapid containment and detailed audit trails. Organizations that demonstrate automation maturity can reduce premiums by 10–15%. This financial incentive directly supports SOAR adoption.

How SOAR Systems Work

Data Aggregation from Various Security Sources

SOAR systems collect data from multiple security tools and sources like firewalls, intrusion detection systems, and antivirus. This aggregation allows for centralized analysis, reducing the time needed to gather information manually from disparate systems.

Data aggregation centralizes information and improves its quality. By collecting data from diverse sources, SOAR systems can provide an overview of security events. This data collection supports more accurate threat detection and response, as all relevant information is considered in the decision-making process.

Analysis and Prioritization of Threats

SOAR systems utilize analytics and intelligence to evaluate and prioritize threats based on severity and potential impact. By employing automation, these systems rapidly assess numerous alerts, determining which threats require immediate attention. This capability enables security teams to focus their efforts on the most critical issues.

In addition to prioritizing threats, SOAR systems support incident investigation by connecting related events and analyzing patterns. This context-rich analysis allows for better understanding and faster resolution of security incidents.

Automated and Manual Response Mechanisms

SOAR platforms provide automated response capabilities, executing predefined actions to mitigate threats without human intervention. These responses can range from isolating affected systems to blocking malicious IPs. Automation helps in rapidly neutralizing threats, minimizing potential damage and maintaining the integrity of business operations.

While automation is crucial, SOAR systems also support manual intervention when needed. Analysts can take over complex or sensitive incidents that require nuanced judgment. This dual capability ensures flexibility and precision in handling security incidents.

Continuous Learning and Adaptation to Emerging Threats

SOAR systems are not static; they evolve by learning from past incidents and adapting to new forms of threats. Machine learning algorithms within these platforms analyze historical data to identify patterns and improve future responses. This adaptive capability ensures that SOAR systems remain effective even as the threat landscape changes.

Continuous learning in SOAR systems extends beyond threat detection. These platforms can update and refine automated workflows, incorporating lessons learned from previous incidents. By staying ahead of emerging threats, SOAR systems help organizations maintain a strong security posture.

Related content: Read our guide to SOAR security

Notable SOAR Systems

Security Platforms Providing SIEM and SOAR

1. Exabeam: Supporting Google Cloud Security

Exabeam is a leading provider of security information and event management (SIEM) solutions, combining UEBA, SIEM, SOAR, and TDIR to accelerate security operations. Its Security Operations platforms enable security teams to quickly detect, investigate, and respond to threats while enhancing operational efficiency.

Key Features:

• Scalable log collection and management: The open platform accelerates log onboarding by 70%, eliminating the need for advanced engineering skills while ensuring seamless log aggregation across hybrid environments.
• Behavioral analytics: Uses advanced analytics to baseline normal vs. abnormal behavior, detecting insider threats, lateral movement, and advanced attacks missed by signature-based systems. Customers report that Exabeam helps detect and respond to 90% of attacks before other vendors can catch them.
• Automated threat response: Simplifies security operations by automating incident timelines, reducing manual effort by 30%, and accelerating investigation times by 80%.
• Contextual incident investigation: Since Exabeam automates timeline creation and reduces time spent on menial tasks, it cuts the time to detect and respond to threats by over 50%. Pre-built correlation rules, anomaly detection models, and vendor integrations reduce alerts by 60%, minimizing false positives.
• SaaS and cloud-native options: Flexible deployment options provide scalability for cloud-first and hybrid environments, ensuring rapid time to value for customers. For organizations who can’t, or won’t move their SIEM to the cloud, Exabeam provides a market-leading, full featured, and self-hosted SIEM.
• Network visibility with NetMon: Delivers deep insight beyond firewalls and IDS/IPS, detecting threats like data theft and botnet activity while making investigation easier with flexible searching. Deep Packet Analytics (DPA) also builds on the NetMon Deep Packet Inspection (DPI) engine to interpret key indicators of compromise (IOCs).

Exabeam customers consistently highlight how its real-time visibility, automation, and productivity tools powered by AI, uplevel security talent, transforming overwhelmed analysts into proactive defenders while reducing costs and maintaining industry-leading support. For more information visit Exabeam.com

Source: Exabeam

2.  IBM QRadar SIEM + QRadar SOAR

IBM QRadar SOAR (on-premise) is a security orchestration, automation, and response platform to help security teams coordinate and automate incident response processes. It integrates with QRadar SIEM and other security tools to orchestrate workflows, standardize procedures, and manage incidents through structured playbooks. 

Key features include:

• Automated incident response workflows: Helps orchestrate response activities and enforce consistent incident handling procedures through automated workflows.
• Playbook-driven response: Uses structured playbooks to guide analysts through incident response steps and standardize processes across the SOC.
• Integrated case management: Centralizes incident data and investigation details to support collaboration, tracking, and documentation.
• Security telemetry ingestion: Collects and processes event data from multiple sources through telemetry ingestion mechanisms and integrations.
• Network detection and response visibility: Analyzes network activity and telemetry to provide insights that help identify and respond to potential threats.

Source: IBM

3. Microsoft Sentinel

Microsoft Sentinel is a cloud-native SIEM and SOAR platform built on Microsoft Azure. It collects and analyzes security data across cloud services, on-premises infrastructure, and third-party tools. The platform combines threat detection, investigation, and automated response capabilities while using AI and analytics to support security operations centers in managing alerts and incidents across hybrid environments.

Key features include:

• Cloud-native SIEM architecture: Provides a scalable security data platform built on Azure to centralize telemetry and support advanced analytics.
• Enterprise-wide visibility: Uses hundreds of built-in connectors and custom integrations to collect security data from multicloud and on-premises environments.
• AI-powered threat detection: Applies machine learning and analytics rules to detect suspicious activity and reduce false positives.
• Integrated SOAR capabilities: Automates incident response workflows and security operations through orchestration and automation features.
• Graph-powered investigation: Uses security graphs to visualize relationships between entities and support investigation across complex environments.
• Generative AI–assisted operations: Uses Security Copilot capabilities to summarize incidents, generate queries, and recommend response actions.

Source: Microsoft

Dedicated SOAR Tools

4. Palo Alto Networks Cortex XSOAR

Cortex XSOAR is a security orchestration, automation, and response platform that automates incident response and coordinate security operations across multiple tools and teams. It provides centralized workflows, integrations, and collaboration features that help SOC teams investigate alerts, manage incidents, and automate repetitive response tasks.

Key features include:

• Automation-first response: Automates repetitive tasks and alert handling to reduce manual investigation effort.
• Visual playbook editor: Enables teams to design and customize automation workflows without extensive coding.
• Integrated incident collaboration environment: Provides a centralized “war room” where analysts can access incident data, indicators, and threat intelligence during investigations.
• Centralized orchestration: Coordinates processes, people, and security tools across the SOC.
• Threat intelligence enrichment: Integrates external threat intelligence sources to provide additional context for alerts and investigations.

Source: Palo Alto Networks 

5. Splunk SOAR

Splunk SOAR is a security orchestration, automation, and response platform that automates workflows and coordinates security tools across an organization’s security stack. It integrates with numerous third-party solutions and enables analysts to automate investigation and response processes through customizable playbooks. The platform is often deployed alongside Splunk Enterprise Security to support unified security operations.

Key features include:

• Intelligence-driven response: Uses threat research and contextual information to support investigation and response decisions.
• Automated playbooks: Executes predefined incident response workflows aligned with frameworks such as MITRE ATT&CK and D3FEND.
• Visual playbook editor: Allows users to build automation workflows using a graphical interface and reusable logic blocks.
• Extensive integrations: Connects to hundreds of security tools and supports thousands of automated actions across systems.
• Integrated case management: Enables analysts to track incidents, assign tasks, and document investigations within the platform.

Source: Splunk

6. Fortinet FortiSOAR

Fortinet FortiSOAR is a security orchestration, automation, and response platform to centralize incident management and automate security workflows across IT and OT environments. It acts as a central hub for coordinating alerts, investigations, and response actions while integrating with multiple security tools. 

Key features include:

• Centralized incident management: Consolidates alerts and incident data to help teams coordinate investigations and response activities.
• AI-assisted analyst guidance: Uses FortiAI and a recommendation engine to support threat investigation and workflow creation.
• Low-code playbook creation: Provides visual tools that enable security teams to build and customize automation workflows.
• Extensive integrations and content: Supports integrations with hundreds of third-party products and includes prebuilt playbooks and connectors.
• Integrated threat intelligence: Uses threat intelligence from FortiGuard Labs and external sources to enrich investigations.

Source: Fortinet

7. Sumo Logic Cloud SOAR

Sumo Logic Cloud SOAR is a cloud-native SOAR platform to automate incident investigation and response processes across modern security environments. It provides automation tools, centralized case management, and integrations with multiple security technologies to help security teams manage alerts and incidents more efficiently.

Key features include:

• Automated indicator triage: Investigates indicators of compromise automatically to reduce false positives and analyst workload.
• Centralized case management: Provides a structured timeline of incidents with role-based access for collaborative investigations.
• Automated standard operating procedures: Automates routine SOC workflows and security processes.
• Dashboards and reporting: Tracks incident response metrics and operational performance through customizable dashboards.
• Open integration framework: Supports third-party integrations through APIs, prebuilt connectors, and automation playbooks.  

Source: Sumo Logic

8. Rapid7 InsightConnect

Rapid7 InsightConnect is a SOAR platform to automate workflows across security tools, cloud applications, and on-premises systems. It enables organizations to integrate technologies, coordinate processes, and automate routine security tasks. The platform focuses on simplifying automation through a visual workflow builder and reusable automation components.

Key features include:

• No-code workflow automation: Provides a visual builder that allows teams to design and deploy automation workflows without writing code.
• Extensive plugin integrations: Supports integration with hundreds of security and IT tools through prebuilt plugins and triggers.
• Prebuilt automation templates: Includes ready-to-use workflows for common use cases such as phishing investigation and user account management.
• Human-in-the-loop workflows: Allows analysts to pause automation and approve actions before execution.
• Reusable workflow components: Supports modular workflow elements that can be reused across different automation scenarios.  

Source: Rapid7

How to Choose a SOAR System

Choosing the right SOAR system involves evaluating both technical capabilities and organizational needs. The decision impacts not just how incidents are handled, but also how teams collaborate and improve over time. Here are key considerations that often go overlooked but can significantly affect the success of a SOAR deployment:

• Scalability for future growth: Evaluate whether the SOAR platform can handle increasing data volumes and expanded use cases as the organization grows. A system that performs well in a pilot environment may face performance issues at scale.
• Playbook version control and testing: Look for support for versioning and sandbox testing of playbooks. This ensures safe iteration and validation of workflows before deployment into production, reducing the risk of automation errors.
• Support for compliance and auditability: Ensure the platform can generate detailed audit logs and compliance reports. This is essential for meeting regulatory requirements and internal governance standards.
• Customization of UI and workflow views: Some teams benefit from tailoring dashboards and workflow views to their roles. Check if the platform supports user-specific interfaces or role-based visualizations.
• Incident enrichment flexibility: The ability to customize how threat intelligence is applied to incidents—such as dynamic tagging or conditional enrichment rules—can drastically improve triage and investigation efficiency.
• Vendor lock-in and portability: Understand the extent of lock-in due to proprietary scripting languages, integrations, or infrastructure dependencies. Prefer solutions that allow easy export of workflows and logic.
• Cross-functional integration: Consider how well the SOAR platform integrates with other departments’ tools, such as ITSM or DevOps platforms. Broader integration can drive better collaboration and extend automation benefits beyond the SOC.
• Availability of a developer ecosystem: A strong user or developer community provides access to shared playbooks, integration connectors, and troubleshooting resources—accelerating deployment and reducing total cost of ownership.