Written by: Nimesh Chakravarthi, Co-founder & CTO, Struct
Key Takeaways
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Ransomware incidents rose 37% from 2024-2025, forcing teams to rethink incident response across both security and engineering.
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Struct leads for engineering teams with 5-minute automated investigations integrating Datadog, PagerDuty, and GitHub.
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Enterprise tools like CrowdStrike, Microsoft Sentinel, and Cortex XSOAR excel in security but require weeks of setup and dedicated SOC teams.
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Open-source options like TheHive and Velociraptor offer cost savings but demand technical expertise and lack AI automation.
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Automate your on-call runbook with Struct for faster triage and a 10-minute setup.
Top 9 Incident Response Tools by Category for 2026
1. Struct: AI Incident Response for Engineering Teams
Struct leads the AI-powered incident response category for engineering teams and SREs. The platform automatically investigates alerts from Slack and PagerDuty channels, then correlates logs, metrics, and code changes to build dashboards and timelines before engineers start manual triage.
Key features include an automated first-pass investigation that connects to Datadog, AWS CloudWatch, and GitHub to provide root cause analysis within minutes of alert firing. Struct customers working at a large scale report an 80% reduction in triage time, with one Series A fintech cutting investigation time from 45 minutes to 5 minutes. This speed combines with Slack-native conversational AI for follow-up questions and custom runbook integration for company-specific debugging steps.
Struct focuses on rapid deployment with a consistent 10-minute setup and full SOC 2 and HIPAA compliance. The composable architecture lets teams encode specific on-call runbooks while keeping a smooth handoff to GitHub for PR creation. Struct works best for Seed to Series C engineering teams that need immediate MTTR improvements without long enterprise deployments.
2. CrowdStrike: Endpoint Security for SOC and Security Teams
While Struct addresses engineering incidents, security-focused teams face different requirements. For organizations that prioritize cybersecurity threats over application performance, traditional EDR platforms offer specialized capabilities.
CrowdStrike remains the market leader in endpoint detection and response (EDR) with strong incident response capabilities for security teams. The platform provides real-time threat detection, automated containment, and forensic analysis across endpoints.
CrowdStrike’s Falcon platform integrates threat intelligence with AI-driven analysis for rapid containment and remediation. CrowdStrike’s incident response services focus on rapid containment, remediation, recovery, threat intelligence, AI-driven analysis, and legal/insurance integrations. The platform fits enterprise environments that require comprehensive security incident management.
CrowdStrike works well for cybersecurity incidents, but its security-first approach makes it less suitable for engineering teams focused on application performance and infrastructure reliability. Its cloud-native deployment still emphasizes simplicity with a lightweight agent.
3. Microsoft Sentinel: Cloud SIEM for Microsoft-Centric Organizations
Teams that standardize on Microsoft often look for a SIEM that matches that ecosystem. Microsoft Sentinel fills that role with cloud-native security monitoring and response.
Microsoft Sentinel provides cloud-native SIEM capabilities with integrated incident response workflows. The platform aggregates security data across Microsoft and third-party sources for broad threat detection and response coordination.
Sentinel’s strength comes from its tight integration with the Microsoft ecosystem and AI-powered analytics for threat correlation. SIEM/SOAR platforms like Microsoft Sentinel integrate with EDR, identity providers, and network tools for unified data planes and enriched incident response. The platform supports automated playbooks and custom analytics rules for incident detection.
Microsoft Sentinel works best for organizations heavily invested in Microsoft infrastructure. It often requires substantial configuration for engineering-specific use cases, and its security-centric design may not address SRE needs for application performance incidents.
4. Palo Alto Cortex XSOAR: Enterprise SOAR for Mature SOCs
Large enterprises with mature SOCs often need orchestration across many security tools. Palo Alto Cortex XSOAR focuses on that level of automation and scale.
Palo Alto Cortex XSOAR delivers security orchestration, automation, and response (SOAR) capabilities with extensive playbook automation. The platform connects security tools and automates incident response workflows across complex enterprise environments.
Cortex XSOAR’s automation engine supports custom playbooks and integrations with hundreds of security tools. Enterprise SOCs emphasize adopting SOAR-driven enrichment and automation to accelerate analyst triage, reduce fatigue, and enable auto-containment. The platform also provides case management and collaborative investigation features.
Cortex XSOAR offers broad coverage for security operations, yet its complexity and enterprise focus make it a poor fit for most mid-sized engineering teams. It typically requires dedicated security personnel and significant configuration time.
5. Splunk: Data-Heavy SIEM and Incident Analytics
Organizations that treat logs and metrics as a central data lake often choose Splunk. The platform focuses on large-scale data analysis and incident investigation.
Splunk offers enterprise-grade SIEM and incident response capabilities with powerful data analytics and visualization. The platform ingests machine data from across the IT infrastructure for detailed incident investigation and response.
Splunk’s strength lies in its data processing capabilities and extensive integration ecosystem. Splunk On-Call integrates with Splunk’s observability suite for on-call automation and is used by major enterprises such as Manpower Group, Carrefour, Cal Poly, and Rappi. The platform supports custom dashboards and automated alerting for incident detection.
Splunk’s enterprise pricing and complexity create challenges for smaller engineering teams. Splunk On-Call employs pricing tiers based on workload, ingest, entity, and activity, which can become expensive as teams grow.
6. TheHive: Open-Source Case Management for Security Teams
Teams that want structured case management without enterprise licensing often look to TheHive. It focuses on collaborative workflows for security incidents.
TheHive provides open-source security case management designed for collaborative incident response. TheHive supports multi-analyst collaboration on cases, task management via templates, and IOC tagging for incident response in SOCs, CSIRTs, and CERTs.
The platform delivers strong value for teams that need structured case management and want to avoid commercial licensing fees. TheHive has 3.4k GitHub stars and 10+ contributors, which signals active community support. Integration options include MISP, Cortex analyzers, and custom APIs.
TheHive requires technical expertise for deployment and customization. Its security-focused design often misaligns with engineering teams’ needs for application performance and infrastructure incidents, and it offers limited AI automation compared to commercial tools.
7. PagerDuty: On-Call Orchestration for DevOps and SRE
Many DevOps and SRE teams start with on-call coordination before adding deeper automation. PagerDuty addresses that operational layer.
PagerDuty specializes in on-call management and incident response orchestration for DevOps and SRE teams. PagerDuty uses machine learning-based event intelligence to automatically suppress noise, correlate related alerts, prioritize incidents, and reduce alert fatigue for DevOps and SRE teams.
The platform provides on-call scheduling, escalation policies, and integrations with monitoring tools like Datadog, Prometheus, and AWS CloudWatch. PagerDuty is used by notable clients including FOX, Zoom, COX Automotive, TUI, and DraftKings. Advanced features include Runbook Automation and Service Graphs for dependency mapping.
PagerDuty uses per-user pricing with paid plans billed per user per month, with higher tiers adding advanced escalation rules, analytics, automation, and incident response workflows. The platform suits enterprise teams but can feel complex for smaller engineering groups.
8. Velociraptor: Open-Source DFIR and Endpoint Forensics
Incident response teams that focus on digital forensics and endpoint evidence often choose Velociraptor. It targets deep investigation rather than day-to-day SRE work.
Velociraptor offers open-source endpoint monitoring and digital forensics capabilities for incident response teams. Velociraptor features artifact collection from endpoints, including logs, files, registry, and network data, VQL for custom forensics, evidence analysis for threat detection, and pre-configured incident response automation workflows.
The platform excels in forensic analysis and evidence collection, supported by 3k GitHub stars and 100+ contributors. Velociraptor integrates with SIEMs, EDRs, and threat intelligence platforms for comprehensive incident investigation. The VQL query language enables custom artifact collection and analysis.
Velociraptor requires significant technical expertise for deployment and daily operation. Its forensics-focused approach often fails to address engineering teams’ needs for application performance monitoring and rapid incident resolution.
9. Sentry: Error Tracking for Development Teams
Development teams that want visibility into errors and performance often start with Sentry. It focuses on developer workflows rather than full incident orchestration.
Sentry provides error tracking and performance monitoring specifically designed for software development teams. The platform automatically captures application errors, performance issues, and release health metrics for proactive incident detection.
Sentry’s strength comes from its developer-centric approach with deep integration into development workflows. The platform supports real-time error alerting, release tracking, and performance monitoring across multiple programming languages and frameworks. Integration with GitHub, Slack, and CI/CD pipelines keeps incident response within existing development processes.
While strong for application error tracking, Sentry’s scope remains narrow compared to comprehensive incident response platforms. The tool works best as part of a broader observability stack rather than a standalone incident response solution.
Incident Response Tools Comparison 2026
The following comparison highlights the trade-off between setup time and target user. Enterprise security tools often need weeks of configuration, while engineering-focused platforms deploy in minutes.
|
Tool |
Category |
Setup Time |
Best For |
|---|---|---|---|
|
Struct |
AI Engineering |
10 minutes |
Seed-Series C Teams |
|
CrowdStrike |
EDR |
Minutes |
Enterprise Security |
|
Microsoft Sentinel |
SIEM |
Weeks |
Microsoft Ecosystem |
|
Cortex XSOAR |
SOAR |
Weeks-Months |
Mid-to-Large SOCs |
|
Splunk |
SIEM/Analytics |
Weeks |
Large Enterprises |
|
TheHive |
Open Source |
Days |
Budget-Conscious Teams |
|
PagerDuty |
On-Call |
Hours-Days |
Enterprise DevOps |
|
Velociraptor |
DFIR |
Days |
Forensics Teams |
|
Sentry |
Error Tracking |
Minutes |
Development Teams |
How to Pick the Best Incident Response Tool for Your Engineering Team
Engineering teams should match tools to team size, budget, existing stack, and desired level of automation. Seed to Series C teams usually benefit from platforms that offer rapid deployment, native Slack integration, and clear MTTR improvements.
Teams using AI-assisted investigation achieve MTTR of 5-15 minutes, compared to 15-30 minutes for high-performing SRE teams without AI.
Key evaluation criteria include integration with existing observability stacks such as Datadog, AWS CloudWatch, and GitHub, along with setup complexity and pricing scalability. Among these factors, urgency of impact often shapes the right choice, so teams that need immediate results should favor AI-powered platforms like Struct that automate initial triage and root cause analysis.
Budget constraints can shift this decision, since budget-conscious teams may accept longer setup times with open-source tools like TheHive, while enterprises with dedicated resources often choose broader platforms like PagerDuty or CrowdStrike.
Incident Response Tools FAQ
What are the best AI incident response tools in 2026?
Struct leads the AI-powered incident response category for engineering teams, offering automated investigation, root cause analysis, and significant MTTR reduction.
Other notable AI-powered platforms include Sherlocks.ai for observability correlation, Resolve.ai for enterprise environments, and Rootly AI SRE for Slack-native incident management. These tools use machine learning to automate triage, correlate alerts, and provide actionable insights without manual intervention.
What are the best open source incident response tools?
TheHive provides collaborative case management with multi-analyst support and IOC tagging capabilities. Velociraptor offers endpoint monitoring and digital forensics with custom VQL queries for artifact collection.
IRIS enables collaborative incident response with SIEM integration and extensible modules. Wazuh delivers comprehensive SIEM and XDR capabilities with endpoint protection and vulnerability detection. These open-source tools provide cost-effective options for teams with strong technical expertise.
What are the best CrowdStrike alternatives for developers?
Struct offers AI-powered incident response designed for engineering teams with rapid deployment and application-focused monitoring.
PagerDuty provides on-call management with machine learning-based event intelligence for DevOps teams. Sentry delivers developer-centric error tracking and performance monitoring with deep development workflow integration. These alternatives focus on engineering productivity rather than traditional cybersecurity use cases.
What are the best free SIEM tools for incident response?
Wazuh provides comprehensive SIEM and XDR capabilities as an open-source platform with log collection, intrusion detection, and vulnerability assessment. Graylog offers log management and security event correlation with real-time alerting capabilities. OSSEC delivers host-based intrusion detection with log analysis and file integrity monitoring. These free options require technical expertise for deployment and maintenance.
How can engineering teams reduce on-call triage time?
AI-powered platforms like Struct automate initial investigation and root cause analysis, which cuts manual triage significantly. Implementing SLO-based alerting reduces alert volume by 40-60% by focusing on user-impacting issues rather than static thresholds.
Centralizing observability data and using automated correlation across logs, metrics, and traces removes context-switching between multiple tools. Teams should favor platforms with Slack integration and automated runbook execution for the largest efficiency gains.
Conclusion
The incident response landscape in 2026 has shifted toward AI-powered automation, and engineering teams now achieve much faster MTTR through intelligent triage and root cause analysis. Traditional cybersecurity tools like CrowdStrike and Splunk still matter for enterprise security operations, yet platforms like Struct address the specific needs of SRE and engineering teams facing alert fatigue and manual investigation overhead.
For Seed to Series C engineering teams, AI-powered platforms that offer rapid deployment, native observability integration, and clear MTTR improvements deliver immediate value without enterprise complexity. The dramatic triage time reductions achieved by leading platforms turn on-call operations from reactive firefighting into proactive system reliability.
