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SOAR Security in 2026: 3 Components, Benefits, and Top Use Cases

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Table of Contents

    What Is Security Orchestration, Automation, and Response (SOAR)? 

    SOAR, which stands for Security Orchestration, Automation, and Response, is a set of security tools and technologies that automate and simplify security operations. It enables organizations to better manage, respond to, and resolve security incidents by integrating multiple security tools, automating repetitive tasks, and providing a framework for incident response. Once an independent solution, SOAR is now preferred to be integrated as part of the response functionality of a Security Information and Event Management (SIEM) solution.

    SOAR solutions help organizations handle alerts at scale, manage incidents, and improve overall security posture. They reduce manual intervention by harmonizing disparate security technologies through automation and orchestration. By analyzing and correlating data from various sources, SOAR helps prioritize risks and facilitate a consistent response.

    Key aspects of SOAR:

    • Integration and orchestration: SOAR platforms integrate with various security tools like SIEMs, EDRs, threat intelligence platforms, and more, enabling responses and unifying workflows between these tools. 
    • Automation: SOAR automates repetitive security tasks, such as alert triage, vulnerability scanning, and incident response actions, freeing up security teams to focus on more complex issues. 
    • Response: SOAR provides a framework for incident response, allowing security teams to define and automate incident response plans, ensuring consistent and timely responses to security incidents. 

    Benefits of SOAR:

    • Improved efficiency: SOAR automates tasks, simplifies workflows, and reduces manual effort, leading to faster response times and increased security team efficiency. 
    • Enhanced threat detection and response: SOAR integrates with threat intelligence feeds and other security tools, enabling better threat detection and faster response to security incidents. 
    • Reduced costs: By automating tasks and improving efficiency, SOAR can help reduce operational costs associated with security operations. 
    • Better incident management: SOAR provides a centralized platform for managing security incidents, improving visibility, and facilitating collaboration among security teams. 
    • Improved collaboration: The Security Operations Center (SOC) can work together more easily given the integration of all security-related information.

    Examples of SOAR use cases:

    • Automating alert triage and incident response: SOAR can automatically triage security alerts, enrich them with relevant data, and initiate predefined response actions, such as isolating infected endpoints or blocking malicious URLs. 
    • Case management: SOAR allows security teams to document each step of each incident from a centralized platform.
    • Automating vulnerability management: SOAR can automate vulnerability scanning, prioritize vulnerabilities based on severity, and trigger remediation actions. 
    • Automating threat hunting: SOAR can automate threat hunting activities, such as searching for indicators of compromise (IOCs) across different systems and networks. 
    • Improving compliance: SOAR can help organizations automate compliance activities, such as logging and reporting.

    The way these capabilities are delivered is changing. Standalone SOAR has largely folded into SIEM and broader security operations platforms, and the automation layer itself is shifting from static, hand-written playbooks toward AI agents that reason about an alert and decide what to do next. That shift brings new integration standards, tighter regulatory reporting clocks, and new governance questions about how much authority an automated system should be given.

    Editor’s note: Updated the article to reflect the shift toward agentic AI in the SOC, MCP-based tool integration, tighter incident reporting deadlines, and current adoption research as of 2026.

    This is part of a series of articles about information security.


    How Does SOAR Work? 

    SOAR works by integrating with an organization’s existing security infrastructure to enrich, organize, and automate security tasks and workflows. It collects data from various sources, including security information and event management (SIEM) systems, threat intelligence platforms, and network analysis tools. Once data is ingested, it processes the information through automated workflows to identify, prioritize, and respond to threats.

    Security Integration and Orchestration

    Security orchestration in SOAR involves harmonizing different security systems and tools to work in a coordinated manner. It aims to create an environment where data is shared across applications, enabling security processes to be managed more effectively. Orchestration is empowered by automated workflows that ensure every piece of technology in the cybersecurity infrastructure communicates efficiently with others, breaking down silos that hinder threat response efforts and information sharing. Integration itself is now being standardized: instead of maintaining a bespoke connector for every tool, teams increasingly expose capabilities through the Model Context Protocol, an application-level messaging pattern that AI-enabled systems use to discover and invoke tools consistently.

    The key aspect of security orchestration is its ability to bring multiple security technologies into a unified process without manual input. By facilitating smoother interactions among discrete technologies, orchestration improves the capacity of security teams to handle threats proactively.

    Security Automation

    Security automation within SOAR is about automating routine security tasks that were traditionally performed manually. This aspect of SOAR eliminates repetitive tasks such as log analysis, threat intelligence gathering, and alert triage. By automating these processes, organizations can significantly reduce the time and effort spent on incident management. 

    Through predefined automated playbooks and scripted responses, automation empowers security teams to address threats in a timely manner. This increases the efficiency of security operations and optimizes the allocation of resources, allowing security personnel to focus on more strategic initiatives.

    Incident Response

    Incident response in the context of SOAR involves managing and mitigating security threats through a structured and pre-planned process. This component of SOAR enables organizations to define and execute incident response plans, effectively addressing threats as they arise. It provides a documented, repeatable approach to dealing with incidents, minimizing both response times and potential damage. SOAR platforms offer visibility into the lifecycle of incidents, simplifying the tracking and management of each event.

    A well-defined incident response process supported by SOAR includes detection, analysis, containment, eradication, and recovery phases. Each stage benefits from automation, reducing human error and enhancing the speed and accuracy of the response. By ensuring that predefined response protocols are followed, SOAR enhances an organization’s ability to recover quickly from an attack and maintain business continuity.


    Benefits of SOAR Security 

    Efficiency: Processing More Alerts in Less Time

    SOAR systems enable organizations to process a higher volume of security alerts efficiently. By leveraging automation, these platforms can assess and categorize alerts quickly, enabling security teams to focus on high-priority issues. This capability is crucial in today’s threat landscape where cybersecurity personnel are inundated with alerts and need tools that can differentiate between false positives and genuine threats. The alert management system ensures that critical alerts are addressed promptly. AI-assisted triage has moved quickly from pilot to production, with industry research tracking active use of AI in security strategy climbing from around half of organizations to roughly three-quarters in a single year, and detection and response among the most common workloads.

    Improved Incident Detection and Response Processes

    SOAR enables the development and deployment of consistent incident response plans through automation and predefined playbooks. These plans ensure that security teams can respond to incidents uniformly, regardless of their complexity or the time they occur. Consistency in response enhances the quality of incident management and increases confidence in the measures taken to secure digital environments. By having a standardized response, businesses can mitigate risks effectively with each incident.

    Reduced Costs

    SOAR reduces operational costs by minimizing the need for manual intervention in routine security processes. By automating repetitive tasks like alert triage, incident prioritization, and report generation, organizations can lower the workload on security analysts and reduce the number of personnel required for day-to-day operations. Additionally, faster incident response minimizes downtime and mitigates the financial impact of security breaches, helping organizations avoid the high costs associated with prolonged incidents or data loss.

    Better Incident Management

    SOAR improves incident management by providing a centralized platform for tracking, analyzing, and responding to security events. It offers real-time visibility into the status and progress of incidents across their entire lifecycle. Through case management features and detailed audit trails, security teams can document actions taken, monitor key performance metrics, and ensure accountability. This structured approach not only streamlines investigation and remediation efforts but also supports regulatory compliance and post-incident analysis by maintaining a comprehensive record of each event.

    Improved SOC Collaboration

    SOAR promotes enhanced collaboration within the security operations center (SOC) by integrating disparate tools and systems into a cohesive platform. This integration fosters improved communication across the security team, as it ensures that all members have access to the same information and insights. It eliminates information silos and promotes a more unified approach to threat detection and response, facilitating knowledge sharing and coordinated actions among team members. Intelligence programs are also widening to cover adversary use of AI, since most organizations now report confirmed or suspected AI-enabled attacks, and the indicators tied to machine-generated phishing and automated reconnaissance behave differently from traditional ones.


    What is Threat Intelligence Management?

    Threat intelligence management is the process of collecting, analyzing, and leveraging threat data to inform security decisions and actions. It involves aggregating threat indicators—such as malicious IP addresses, URLs, file hashes, and tactics used by adversaries—from various internal and external sources.

    Within a SOAR system, threat intelligence management enables automated correlation between security alerts and known threat indicators. This helps in rapidly identifying known attack patterns, prioritizing incidents based on threat severity, and informing automated response playbooks. Effective threat intelligence management also includes normalization and enrichment of data, ensuring consistency across different sources and enhancing the context available for decision-making.

    SOAR platforms often integrate with multiple threat intelligence feeds and allow security teams to operationalize this data by triggering specific workflows when indicators are matched. This not only increases the speed of detection but also enhances the accuracy and relevance of incident response.

    What is SIEM?

    Security information and event management (SIEM) is a foundational technology in modern security operations, responsible for collecting and analyzing log data from across an organization’s infrastructure. It provides centralized visibility into network activity by aggregating logs from systems, applications, devices, and security tools.

    SIEM solutions help detect anomalies, generate alerts, and support forensic investigations by correlating events from multiple sources. They play a crucial role in identifying suspicious behavior, compliance reporting, and root cause analysis. SOAR functionality within a SIEM is now considered common practice and the preferred method of utilizing SOAR technology.

    SOAR vs SIEM vs XDR: What is the Difference? 

    Security Orchestration, Automation, and Response (SOAR), Security Information and Event Management (SIEM), and Extended Detection and Response (XDR) are three distinct technologies designed to enhance cybersecurity, each with its own focus and capabilities:

    • SIEM focuses primarily on collecting, aggregating, and analyzing security event data from various sources within an organization. It provides a centralized view of security alerts and supports threat detection by correlating events across the network. SIEM systems excel at historical data analysis and log management, offering a broad overview of an organization’s security status. 
    • SOAR builds on SIEM’s data aggregation capabilities by adding orchestration, automation, and incident response functionalities. SOAR automates the workflows involved in handling security incidents and integrates with other tools to simplify the incident response process. Where SIEM stops at alerting, SOAR moves forward with action—automating responses, triaging threats, and improving team efficiency through standardized playbooks which is why they are now often integrated into SIEMs and why Gartner marked standalone SOAR as obsolete in their 2025 Hype Cycle for Security Operations.
    • XDR is an evolution of traditional endpoint detection and response (EDR) tools, offering more limited coverage by integrating multiple security layers (e.g., network, endpoint, server, and email). XDR provides cross-layer detection, correlation of security events, and integrated response capabilities. While XDR automates detection and response across the entire attack surface, it is more focused on real-time threat detection and containment on the endpoint rather than the broader orchestration and case management features found in SIEM solutions.
    Learn more:

    Read our detailed explainers about SOAR vs XDR and SIEM vs SOAR.

    SOAR and the Rise of the Agentic SOC

    The clearest change in security automation is the arrival of AI agents that plan and act rather than follow a fixed script. A traditional playbook encodes a decision tree in advance; an agentic system is given a goal, a set of tools, and guardrails, then works out the sequence at runtime. Most SOCs now run both models side by side, keeping deterministic playbooks for high-risk actions and using agents for the open-ended enrichment and correlation work that once consumed Tier 1.

    Adoption has been fast. Research tracking security practitioners found active use of AI in security strategy rising from around half of organizations to roughly three-quarters year over year, with detection and response the most common application. Confidence has not kept pace: the share of practitioners reporting significant shortcomings in AI-driven detection and response climbed from under half to nearly two-thirds over the same period.

    The plumbing is changing alongside the logic. The Model Context Protocol has become a common way for AI systems to discover and invoke security tools, replacing one-off API connectors with a shared messaging pattern. Government guidance on the protocol warns that this convenience carries systemic risk, because dynamic tool invocation, implicit trust between components, and shared context create failure modes that conventional authentication and input validation do not fully address.

    For teams evaluating agentic automation, the practical guardrails will look familiar to anyone who has run a SOAR program. Scope agent credentials narrowly and rotate them, require human approval before any containment action that touches production systems or external parties, log every agent decision the way an analyst action would be logged, and define in advance what a correct outcome looks like so results can be measured rather than assumed.


    Key SOAR Use Cases 

    Automated Alert Triage and Incident Response

    By automating response mechanisms, SOAR enables faster responses to security incidents, decreasing the time between detection and management. This automation reduces human intervention, minimizing the risk of errors and ensuring consistent responses. Automated playbooks capture best practices and streamline processes, leading to improved incident handling and quicker restoration of normal operations after an incident.

    Case Management

    Case management within the SOAR framework serves as the backbone of incident tracking and resolution. It allows security teams to document every step of an incident from detection to resolution within a centralized system. This structured approach ensures continuous visibility into ongoing incidents and provides a clear record for audit and compliance purposes. By centralizing case management, SOAR enhances the efficiency of tracking, collaboration, and reporting on security incidents.

    Automated Vulnerability Management

    Vulnerability management is a critical component in maintaining an organization’s security posture, and SOAR enhances this process considerably. By integrating various systems, SOAR allows for scanning, assessment, and remediation of vulnerabilities. Automated workflows identify and prioritize vulnerabilities based on risk levels, ensuring that critical threats are addressed promptly while lower-risk issues are scheduled systematically according to resource availability and organizational priorities.

    Automated Threat Hunting

    SOAR enhances threat hunting capabilities by automating data collection and analysis, enabling security teams to focus on identifying and predicting potential threats proactively. By leveraging machine learning and integration with threat intelligence platforms, SOAR facilitates the detection of unusual patterns or anomalies that may indicate malicious activity. This proactive approach allows for early detection and prevention of security breaches, reducing overall organizational risk.

    Improved Compliance

    SOAR helps organizations meet regulatory and industry compliance requirements by automating documentation, reporting, and audit processes. It ensures that every action taken during incident detection, investigation, and response is logged in detail, creating a complete audit trail. Automated reporting capabilities allow organizations to generate compliance reports quickly, reducing the manual effort typically required for regulatory audits. By enforcing consistent workflows and maintaining evidence of security controls, SOAR supports adherence to standards such as GDPR, HIPAA, and PCI DSS.

    Newer regimes compress the timeline further. EU financial entities must send an initial notification of a major ICT incident within four hours of classifying it, and no later than 24 hours after becoming aware of it, followed by an intermediate report at 72 hours. Meeting windows that short depends on classification data and evidence being assembled automatically rather than reconstructed by hand.

    Tips from the expert

    Steve Moore

    Steve Moore is Vice President and Chief Security Strategist at Exabeam, helping drive solutions for threat detection and advising customers on security programs and breach response. He is the host of the “The New CISO Podcast,” a Forbes Tech Council member, and Co-founder of TEN18 at Exabeam.

    In my experience, here are tips that can help you better implement and maximize the value of a SOAR platform:

    Dynamically adjust playbooks: Instead of static playbooks, utilize dynamic playbooks that adapt based on incident severity, data sensitivity, or business context. This allows the SOAR platform to automatically modify response actions, optimizing for different threat scenarios and risk levels.

    Leverage threat intelligence for automated contextualization: Integrate real-time threat intelligence feeds into your SOAR platform. This integration allows automated enrichment of alerts with contextual data, helping security teams make quicker, informed decisions without needing to manually research threats.

    Implement a phased SOAR rollout: Begin by automating low-risk, high-volume tasks, such as alert triage and log parsing. Gradually expand to more complex processes like incident response and vulnerability remediation. A phased approach reduces the risk of disrupting existing workflows while easing the transition for security teams.

    Integrate business context into automated decision-making: Enhance your SOAR platform by integrating data from asset management systems and business impact assessments. By adding business context, the SOAR system can prioritize incidents based not only on threat level but also on the potential impact to critical business functions.

    Utilize multi-factor verification for high-risk actions: Automate routine responses but implement a multi-step verification process for high-risk actions, such as blocking network traffic or modifying firewall rules. This safeguard prevents accidental disruptions and ensures a human review for critical changes.

    Integrate user and entity behavior analytics (UEBA) for advanced threat detection: Enhance your SOAR implementation by integrating UEBA tools. By analyzing behavioral patterns, the SOAR platform can detect and respond to insider threats and sophisticated attacks that might bypass traditional security mechanisms.


    What are the Challenges of SOAR? 

    While SOAR platforms are highly beneficial, they can also introduce challenges and complexities in an organization.

    Integration Complexity

    One of the significant challenges in deploying a SOAR platform is the complexity involved in integrating it with existing and legacy systems. Such integration requires planning and execution to ensure that all parts of an organization’s security infrastructure communicate effectively without disruption. 

    High Initial Setup and Maintenance Costs

    SOAR platforms can be expensive to implement, particularly for organizations without the necessary existing infrastructure or personnel. High initial costs include purchasing the software, customizing it for the organization’s needs, and integrating it with existing security tools and systems. Ongoing costs for maintenance, updates, and training must also be accounted for, impacting smaller enterprises without the initial capital needed or long-term budgetary support.

    Skill Requirements

    Utilizing SOAR systems effectively demands a specific set of skills that may not be commonplace within all security teams. Expertise in scripting, playbook customization, and an understanding of incident response frameworks is often necessary to fully leverage the technology. Therefore, achieving a successful SOAR deployment might require additional training for existing staff or hiring new personnel with the appropriate skill set, both of which can be costly undertakings for many organizations.

    Alert Overload and Fine-Tuning

    SOAR platforms are designed to handle a vast number of security alerts, yet the sheer volume of these alerts can lead to overload if not managed properly. During implementation, significant fine-tuning is necessary to ensure the system can accurately differentiate genuine threats from false positives. There is typically a need for ongoing adjustments to optimize threat detection algorithms and response procedures.



    What to Look for in a SOAR Platform

    Integration Capabilities

    If not a function within a SIEM platform, a standalone SOAR platform should support integrations with SIEM systems, endpoint detection and response (EDR) tools, firewalls, vulnerability scanners, threat intelligence platforms, and cloud-based security services. Out-of-the-box integrations can expedite deployment, while custom API support ensures flexibility for unique or proprietary systems. Buyers should also ask how the platform exposes itself to AI agents, whether it ships an agent-facing interface such as an MCP server, and how tightly the credentials behind that interface can be scoped and rotated.

    The platform should also facilitate bi-directional communication between tools, allowing security teams to automate workflows across the ecosystem. By enabling centralized management of disparate technologies, strong integration capabilities reduce complexity, enhance operational efficiency, and ensure that the SOAR platform can scale alongside your security environment.

    Automation and Playbook Flexibility

    The ability to automate routine tasks and define flexible workflows is a defining feature of any SOAR platform. Playbooks, which outline automated incident response procedures, should be easy to create, modify, and customize based on your organization’s specific needs. Look for platforms that offer dynamic playbooks capable of adapting to changing conditions, such as incident severity, asset sensitivity, or regulatory requirements. Support for multiple scripting languages and low-code or no-code visual editors can make it easier for security teams with varying skill levels to implement and update workflows. 

    Additionally, the platform should allow security teams to simulate and test playbooks before deployment, ensuring accuracy and effectiveness. Flexible automation not only reduces manual effort but also standardizes responses, helping organizations mitigate risks more consistently and efficiently.

    Event Handling

    An effective SOAR platform must excel at ingesting, processing, and handling security events from a wide array of sources. This includes data from SIEM systems, endpoint agents, network monitoring tools, and threat intelligence feeds. Advanced event-handling capabilities allow the platform to enrich alerts with contextual information, such as asset importance or threat severity, helping prioritize responses. Look for features like duplicate suppression to reduce noise from redundant alerts, as well as dynamic escalation rules to ensure critical incidents receive prompt attention. 

    Additionally, the platform should support advanced correlation capabilities to link related events across tools and systems, providing a unified view of security incidents. By streamlining event handling, SOAR platforms enable security teams to focus on significant threats and respond with greater precision.

    Distributed Architecture

    A SOAR platform with a distributed architecture is particularly valuable for large organizations with complex infrastructures or global operations. Distributed architectures provide high availability and scalability, ensuring the platform can process large volumes of data and handle incidents across multiple regions or business units. This design minimizes latency, enabling faster detection and response, even in geographically dispersed environments. Fault tolerance is another benefit, as distributed systems can continue to operate effectively even if one component experiences an outage. 

    Look for platforms that support multi-cloud environments and hybrid deployments, as this ensures compatibility with modern IT architectures. A distributed architecture not only improves performance but also strengthens the resilience of your overall security operations.

    Native Threat Intelligence Support

    Native support for threat intelligence is a critical feature that enhances a SOAR platform’s ability to anticipate and respond to threats. The platform should allow seamless integration with both external and internal threat intelligence feeds, enabling real-time enrichment of alerts with contextual data, such as geolocation, known indicators of compromise (IOCs), and attacker tactics. 

    A SOAR solution should also facilitate automated correlation of threat intelligence with ongoing incidents, helping prioritize responses based on the relevance and severity of the threat. Customizable intelligence workflows, such as creating proprietary IOCs or integrating open-source intelligence (OSINT), add further value. By providing actionable insights and facilitating proactive measures, native threat intelligence support empowers organizations to stay ahead of evolving threats and reduce response times significantly.

    Incident Management and Reporting

    Comprehensive incident management and reporting capabilities are essential for tracking, analyzing, and documenting security incidents. A SOAR platform should provide a centralized case management system where security teams can monitor the progress of incidents through all phases, from detection to resolution. Features like automated documentation of actions taken, integration with ticketing systems, and real-time updates help streamline workflows and improve accountability. Reporting capabilities should include customizable dashboards that display key metrics, such as incident trends, mean time to resolution (MTTR), and team performance. 

    Additionally, the ability to generate detailed, exportable reports supports compliance with regulatory requirements and facilitates communication with executive stakeholders. Strong incident management and reporting ensure continuous improvement in your security posture while fostering transparency and trust across the organization.


    Exabeam Platform Capabilities: SIEM, UEBA, SOAR, Insider Threats, Compliance, TDIR

    The Exabeam Security Operations Platform applies AI and automation to security operations workflows for a holistic approach to combating cyberthreats, delivering the most effective threat dThe Exabeam Security Operations Platform integrates SIEM, behavioral analytics, and automation to streamline threat detection, investigation, and response (TDIR). Exabeam believes that response capabilities are a fundamental component of modern security operations and should be included within the SIEM at no additional cost. While industry analyst firms like Gartner are deprecating the standalone term SOAR, the essential need to automate response options to security threats remains critical. The Exabeam mission is to accelerate the TDIR process for the Agentic SOC, transitioning operations from rigid, manual playbooks to autonomous, goal-oriented security execution.

    • Behavioral threat detection: The platform builds multi-entity baselines across users, physical devices, and IP addresses to detect subtle shifts in activity. By applying dynamic risk scoring and automated peer-group analysis, it elevates genuine threat indicators while suppressing high-volume, expected administrative anomalies.
    • Automated timeline correlation: The ingestion engine normalizes disparate log sources into a Common Information Model, binding raw events into structured chronological user and asset timelines. This eliminates manual query construction during lateral movement investigations and pre-assembles the evidence needed for compressed compliance deadlines like DORA.
    • Coordinated response playbooks: The orchestration layer uses low-code workflows to run multi-stage containment actions across cloud and on-premises infrastructure. It supports conditional branching and mandatory human approval gates for high-value targets, ensuring that automated threat mitigation follows defined operational guardrails.
    • Secure tool governance: The platform manages API connections and automated tool actions through strict permission boundaries and scoped credentials. This maintains a complete, tamper-proof audit trail of every automated execution and prevents unauthorized privilege or function escalation during active response cycles.
    • Outcome-focused posture mapping: The platform correlates active detection rules, log coverage, and playbooks against frameworks like MITRE ATT&CK. This generates real-time defensive heatmaps that identify visibility gaps, offering security leaders quantifiable verification of operational readiness.

    These capabilities allow security teams to build a structured, repeatable approach to threat detection and response.

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