Security operations teams are handling more alerts, more security tools, and increasingly complex attack environments. Manually investigating every suspicious login, phishing message, malicious IP address, endpoint alert, identity event, or cloud-security finding is difficult to scale.
That is where security orchestration, automation and response software becomes valuable. SOAR platforms connect security technologies, automate repetitive operations, enrich alerts with threat intelligence, coordinate investigations, and execute predefined or AI-assisted response workflows.
The category is also changing quickly. Traditional rule-based playbooks remain important, but many leading SOAR software platforms now add natural-language workflow creation, AI-assisted investigation, agentic automation, case management, and human-in-the-loop controls.
Info
Product capabilities were checked against official vendor documentation on October 1, 2026. SOAR packaging and AI features are changing quickly, so verify current licensing, deployment options, integrations, and usage limits before purchase.
Best SOAR Software in 2026: Quick Comparison
| SOAR Software | Best For | Key Strength |
|---|---|---|
| Cortex XSOAR | Large security operations centers | 850+ integrations and mature incident automation |
| Splunk SOAR | Splunk-based SOCs | Native Splunk ES automation and 2,800+ actions |
| Microsoft Sentinel | Microsoft security environments | SIEM + SOAR with AI-generated playbooks |
| FortiSOAR | Enterprise and Fortinet-heavy SOCs | Agentic AI plus deterministic playbooks |
| IBM QRadar SOAR | Enterprise incident response | Case management and dynamic playbooks |
| Tines | Flexible no-code automation | API-first workflows, AI agents and approvals |
| Torq AI SOC Platform | AI-driven security operations | Agentic SOC automation and Hyperautomation |
| Rapid7 Automation | Rapid7 environments | Workflow automation and 300+ plugins |
| Shuffle | Open-source SOAR | Self-hostable visual security automation |
| TheHive + Cortex | CSIRTs and security research teams | Open-source case management, analysis and response |
What Is Security Orchestration, Automation and Response (SOAR)?
Security orchestration, automation and response is a security-operations approach that coordinates people, processes, and security tools so repetitive investigation and response tasks can be executed consistently and at scale.
NIST uses the term “security orchestration, automation, and response” in current cybersecurity guidance. In practice, a SOAR platform acts as an execution layer between systems such as SIEM, EDR/XDR, identity, email security, firewalls, cloud-security tools, threat-intelligence services, ticketing platforms, and communication systems.
A SOAR workflow may ingest an alert, enrich it with user and asset context, query threat-intelligence sources, search endpoint telemetry, ask an analyst for approval, disable a compromised account, isolate a device, open a ticket, notify stakeholders, and record every action automatically.
What Features Should You Look for in SOAR Software?
Integration ecosystem: The platform should communicate with your SIEM, EDR/XDR, identity provider, firewall, email-security tools, cloud platforms, threat-intelligence feeds, ticketing systems, and collaboration tools.
Playbook automation: Analysts should be able to automate high-volume workflows such as phishing triage, malicious-IP enrichment, identity compromise, endpoint containment, vulnerability remediation, and ticket enrichment without excessive engineering effort.
Case management: Strong case management keeps alerts, evidence, tasks, notes, approvals, timelines, and response actions together so investigations stay auditable.
Human-in-the-loop controls: High-impact actions such as disabling accounts, isolating production systems, deleting cloud resources, or blocking business-critical traffic should support explicit approval and policy guardrails.
AI and agentic capabilities: AI can summarize incidents, generate workflows, reason over evidence, recommend actions, and sometimes execute multi-step tasks. Evaluate transparency, model governance, data handling, audit logs, approval controls, and rollback options rather than treating autonomy as a feature-count exercise.
10 Best SOAR Software Platforms in 2026
1. Palo Alto Networks Cortex XSOAR
Cortex XSOAR is one of the most established enterprise SOAR platforms. It combines orchestration, automated playbooks, incident and case management, threat-intelligence workflows, collaboration, and a large marketplace of integrations and content packs.
Best for: Large SOCs that want a mature automation ecosystem and deep integration coverage.
Palo Alto Networks currently advertises 850+ product integrations in the XSOAR marketplace. Content packs bundle integrations, orchestration playbooks, dashboards, scripts, and other automation components, helping teams start from prebuilt use cases instead of building every workflow from scratch.
Common use cases include phishing investigation, malware analysis, threat-intelligence enrichment, identity and access response, endpoint remediation, vulnerability workflows, and cross-tool incident coordination.
2. Splunk SOAR
Splunk SOAR is now positioned as a native capability within Splunk Enterprise Security, bringing orchestration and automated response closer to Splunk's SIEM, UEBA, threat-intelligence, and AI-assisted SecOps capabilities.
Best for: Organizations already using Splunk Enterprise Security that want deeply integrated playbook automation.
Splunk says SOAR integrates with 300+ third-party tools and supports 2,800+ automated actions. Teams can build customizable playbooks for phishing response, malware investigation, vulnerability management, alert enrichment, account compromise, and automated containment.
The main advantage is operational consolidation: security teams can keep detection, investigation context, case management, and automation closer to the Splunk Enterprise Security experience instead of operating SOAR as an isolated system.
3. Microsoft Sentinel
Microsoft Sentinel combines SIEM functionality with built-in security orchestration and response. Automation rules can trigger playbooks when incidents or alerts meet defined conditions, allowing teams to enrich indicators, notify responders, open tickets, disable identities, and call remediation APIs.
Best for: Microsoft-centric environments using Sentinel, Defender, Entra, Azure, and the broader Microsoft security stack.
A major 2026 development is the generally available Sentinel playbook generator in the Microsoft Defender portal. Analysts can describe automation logic in natural language and generate Python-based playbooks with documentation, testing support, visual flow diagrams, and third-party API integrations.
Sentinel remains attractive when the organization wants SIEM and SOAR in one ecosystem rather than purchasing a separate orchestration product.
4. Fortinet FortiSOAR
FortiSOAR combines traditional deterministic playbooks with agentic AI. FortiSOAR 8.0, released in September 2026, adds a stronger agentic automation layer while preserving playbooks, case management, governance, role-based controls, and broad connector support.
Best for: Enterprise and MSSP security teams that want governed agentic automation alongside conventional SOAR workflows.
Fortinet currently advertises more than 20 prebuilt expert agents for alert investigation, playbook building, task execution, and operational insights, plus over 700 API connections and MCP-based communications.
The platform also supports organizational context, agent guardrails, transparent step logging, custom agents, preferred LLMs, SaaS or self-managed deployment, and MSSP-focused multi-tenancy.
5. IBM QRadar SOAR
IBM QRadar SOAR focuses on structured incident response, dynamic playbooks, case management, evidence tracking, orchestration, and repeatable investigation procedures. IBM continued releasing QRadar SOAR updates during 2026, so it remains an actively maintained option.
Best for: Enterprises that need formalized incident-response processes, case management, breach-response workflows, and a large integration ecosystem.
IBM documents 300+ integrations through the IBM App Exchange, plus low-code dynamic playbooks, alert enrichment, reporting, and integrations with EDR, SIEM, ITSM, threat-intelligence, and other operational systems.
QRadar SOAR is particularly relevant when governance, case structure, evidence, response documentation, and repeatability matter as much as raw automation speed.
6. Tines
Tines takes an API-first, workflow-centric approach rather than relying entirely on a fixed library of vendor-specific connectors. Its Stories product provides a no-code workflow builder, Cases, AI capabilities, monitoring, and autonomous agent actions.
Best for: Security teams that want flexible no-code automation across tools with APIs, while preserving human approval and governance.
Tines can automate alert enrichment, vulnerability workflows, threat intelligence, identity operations, incident response, ticketing, and cross-team processes. In 2026 the platform added stronger AI-agent capabilities while emphasizing human-in-the-loop decision points for risky actions.
Tines is especially appealing to teams that want vendor-agnostic orchestration and prefer reusable API-driven workflows over a heavily opinionated SOAR integration model.
7. Torq AI SOC Platform
Torq represents the shift from conventional SOAR toward AI-native security operations. Its AI SOC Platform combines Hyperautomation, case management, specialized AI agents, natural-language interaction, autonomous triage, investigation, and response.
Best for: Security teams that want aggressive automation and agentic investigation while retaining configurable oversight and manual override.
Torq currently advertises 300 prebuilt integrations and 4,000+ prebuilt steps. Its platform can ingest and normalize security telemetry, triage alerts, open cases, gather evidence, coordinate specialized agents, run deterministic workflows, and execute response actions.
For teams comparing modern software SOAR alternatives, Torq is notable because it treats agentic reasoning and workflow execution as part of one operating model rather than adding AI only as a summary layer.
8. Rapid7 Automation (InsightConnect)
Rapid7 now documents InsightConnect under Automation while continuing to describe it as a SOAR solution. It integrates technologies, people, and processes into automated workflows that accelerate security procedures and operational response.
Best for: Organizations already invested in Rapid7 or teams that want a workflow-oriented SOAR platform with an extensible plugin model.
Rapid7 documents more than 300 plugins, with 270+ available as open-source software, plus 150+ prebuilt workflow templates. Common automation targets include phishing, vulnerability management, threat enrichment, account remediation, ticketing, and security-tool coordination.
The open contribution model is useful for teams that want to extend existing integrations instead of waiting on a vendor-only roadmap.
9. Shuffle
Teams specifically searching for open-source SOAR software should consider Shuffle. It is an open-source security automation platform built around visual workflows, apps, triggers, conditions, variables, APIs, subflows, loops, authentication, caching, and reusable automation components.
Best for: Technically capable SOCs, MSSPs, labs, and security teams that want self-hosting, customization, and open-source control.
Shuffle can be deployed in self-hosted environments or consumed through its cloud service. Its open-source backend uses the AGPLv3 license, while workflows, documentation, apps, specifications, and the app SDK use MIT licensing.
The trade-off is operational ownership: open-source SOAR can provide flexibility and lower software cost, but teams need the skills to operate, secure, customize, and maintain the environment.
10. TheHive + Cortex
Cortex is the open-source analysis and response engine commonly used alongside TheHive for incident and case management. It can analyze observables such as IP addresses, domains, URLs, hashes, files, and other indicators, then invoke responders to take action.
Best for: CSIRTs, SOCs, security research teams, and organizations that want open and extensible analysis, case management, and response infrastructure.
StrangeBee says Cortex remains fully open source and supports more than 100 trusted analyzers for services such as VirusTotal, DomainTools, Shodan, sandboxing tools, reputation services, and other enrichment sources.
TheHive also introduced a production-ready MCP server in 2026, allowing AI assistants to search cases, manage observables, and invoke Cortex analyzers or responders through controlled API access.
How to Choose the Best SOAR Software
Start with your security stack: A platform that integrates deeply with the tools you already use will usually deliver value faster than a product with a larger but less relevant marketplace.
Automate high-volume workflows first: Phishing triage, identity compromise, malicious-IP enrichment, endpoint isolation, vulnerability remediation, and ticket enrichment are practical starting points because they are repetitive and measurable.
Evaluate engineering effort: Compare low-code or no-code builders, APIs, scripting, debugging, testing, version control, reusable modules, templates, and how difficult it is to maintain playbooks when upstream tools change.
Define AI boundaries: Decide which tasks can run autonomously, which require analyst approval, and which must remain deterministic. Ask how the platform logs reasoning, constrains agent permissions, protects credentials, and supports rollback.
Plan for deployment and data residency: Determine whether you need SaaS, on-premises, hybrid, self-hosted, multi-tenant, or sovereign deployment, and where incident data, secrets, logs, and AI prompts are processed.
SOAR vs SIEM: What’s the Difference?
SIEM and SOAR are complementary. A SIEM primarily collects and analyzes security telemetry to detect suspicious activity, correlate events, support hunting, and create incidents. SOAR focuses on coordinating the tools and processes required to investigate and respond.
For example, a SIEM may detect a suspicious account login. A SOAR workflow can then retrieve identity context, check the source IP against threat intelligence, search EDR telemetry, determine whether other accounts are affected, request analyst approval, disable the account, revoke sessions, create a ticket, and document the investigation.
Some modern platforms blur the boundary. Microsoft Sentinel combines SIEM and SOAR in one ecosystem, while Splunk has moved SOAR into Splunk Enterprise Security. The architectural question is therefore less about labels and more about whether detection, investigation, automation, case management, and response work together cleanly.
Open-Source SOAR vs Commercial SOAR
Open-source SOAR platforms such as Shuffle and Cortex can be attractive when customization, self-hosting, transparent code, and infrastructure control are priorities. They can also work well for research teams, labs, MSSPs, and organizations with strong engineering capability.
Commercial SOAR products generally provide more vendor-supported content, managed upgrades, formal support, enterprise governance, packaged integrations, and broader implementation services. The software price is only one part of the comparison: engineering time, workflow maintenance, infrastructure, incident criticality, audit requirements, and support expectations matter as well.
Final Thoughts
The best SOAR software depends heavily on your existing security stack, incident-response model, integration requirements, engineering capacity, and tolerance for autonomous response.
Cortex XSOAR, Splunk SOAR, Microsoft Sentinel, FortiSOAR, and IBM QRadar SOAR provide mature enterprise orchestration capabilities. Tines emphasizes flexible vendor-agnostic workflows, while Torq pushes further toward agentic SOC automation. Rapid7 Automation remains a practical workflow option for Rapid7 environments, and Shuffle plus TheHive/Cortex are compelling open-source choices.
In 2026, SOAR is no longer only about static playbooks. The category increasingly combines deterministic automation, case management, AI-assisted investigation, agentic workflows, natural-language building, and governed human oversight. The strongest platform is the one that can safely automate the repetitive work your analysts perform every day without hiding how critical response decisions are made.
