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Cybersecurity Information SecurityTop 10 Best Client Monitoring Software of 2026
Ranked list of top Client Monitoring Software for enterprise security teams, with Rapid7 InsightIDR, Defender for Endpoint, and Falcon compared.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Rapid7 InsightIDR
Entity Behavior Analytics with entity timelines for user and device investigations
Built for security operations teams monitoring client behavior with advanced detection workflows.
Microsoft Defender for Endpoint
Editor pickMicrosoft Defender for Endpoint attack surface reduction rules with managed indicators and isolation actions
Built for enterprises needing continuous client threat monitoring with deep investigation workflows.
CrowdStrike Falcon Insight
Editor pickFalcon Insight Graph builds an endpoint activity narrative across processes and events
Built for security teams needing rich endpoint client monitoring for incident triage.
Related reading
Comparison Table
The comparison table maps enterprise client monitoring tools by integration depth, data model schema, and the automation and API surface used for provisioning. It also scores admin and governance controls such as RBAC scope and audit log coverage, plus how each platform fits into existing EDR, SIEM, and ticketing workflows. Entries include Rapid7 InsightIDR, Microsoft Defender for Endpoint, and CrowdStrike Falcon Insight to anchor the tradeoffs across telemetry collection, configuration management, and operational throughput.
Rapid7 InsightIDR
SIEM correlationInsightIDR correlates endpoint and network telemetry to detect, investigate, and monitor security events across client environments.
Entity Behavior Analytics with entity timelines for user and device investigations
Rapid7 InsightIDR stands out for unifying client and endpoint visibility with detection engineering powered by real-time and historical analytics. It correlates telemetry into prioritized alerts using detection rules, threat intelligence, and incident workflows.
For client monitoring, it tracks user and device behavior across Windows, macOS, Linux, and common cloud and network sources. Deep investigation is supported with dashboards, entity timelines, and guided response paths.
- +Strong correlation across endpoints, identities, and logs for client-focused incident detection
- +Entity timelines consolidate user and device activity to speed investigation
- +Flexible detections with threat intelligence and tuned analytics workflows
- +Dashboards and reporting support continuous monitoring of client signals
- –Initial setup and tuning require security engineering effort for high-fidelity results
- –Alert triage can be noisy without disciplined rule tuning and exclusions
- –Operational overhead increases as data volume and detections scale
Security operations analysts
Prioritize client alerts from correlated telemetry
Faster triage and containment
Incident responders
Investigate lateral movement across client timelines
Clearer scope of compromise
Show 2 more scenarios
IT and threat hunting teams
Track abnormal user and device behavior
Earlier detection of anomalies
Teams monitor user and device patterns across operating systems and common cloud and network sources.
Compliance and audit stakeholders
Produce evidence from investigation artifacts
Audit-ready incident documentation
Stakeholders rely on investigation views and timelines to document client-centric activity during incidents.
Best for: Security operations teams monitoring client behavior with advanced detection workflows
More related reading
Microsoft Defender for Endpoint
endpoint securityDefender for Endpoint provides endpoint monitoring with threat detection, automated investigation, and response actions using Microsoft security telemetry.
Microsoft Defender for Endpoint attack surface reduction rules with managed indicators and isolation actions
Microsoft Defender for Endpoint stands out by combining endpoint telemetry, threat prevention, and managed detection across Windows and other device types. It delivers client monitoring through indicators of compromise, behavioral detections, and investigation timelines built from endpoint events.
Centralized dashboards tie alerts to device health signals and user and app activity to support ongoing monitoring rather than one-time scans. Rich integration with Microsoft security tooling enables fast triage and coordinated response for monitored clients.
- +Strong endpoint visibility using deep telemetry for process, network, and user activity
- +Actionable alert investigation with timelines and evidence across monitored clients
- +Wide integration with Microsoft security stack for coordinated detection and response
- +Automated remediation options like device isolation and blocking indicators
- –Setup and tuning can be complex across diverse device fleets and OS versions
- –Alert volume can require careful tuning to reduce noise for client monitoring
- –Operational workflows depend on administrator skills in Microsoft security tooling
SOC analysts and triage teams
Investigate endpoint alerts with evidence timeline
Reduced time to contain
IT security leaders and risk owners
Monitor device health across managed endpoints
Lowered exposure across devices
Show 2 more scenarios
Incident responders handling device intrusions
Run investigation using device and user activity
More complete incident scope
Responders connect process activity, user context, and indicators of compromise to guide containment steps.
Endpoint management teams
Validate detections after configuration changes
Fewer detection blind spots
Teams observe detection outcomes and behavioral coverage after policy updates on enrolled devices.
Best for: Enterprises needing continuous client threat monitoring with deep investigation workflows
CrowdStrike Falcon Insight
EDR monitoringFalcon Insight collects and analyzes endpoint data to provide visibility into adversary behavior and ongoing endpoint security monitoring.
Falcon Insight Graph builds an endpoint activity narrative across processes and events
CrowdStrike Falcon Insight enriches client monitoring by recording detailed endpoint telemetry and presenting it as a time-ordered investigative narrative. It associates process execution, network activity, user context, and device information so investigations can follow behavior across sessions instead of switching between disconnected logs.
The monitoring workflow is designed to connect endpoint findings with the wider Falcon detection and response pipeline, which reduces the effort needed to correlate investigative signals to detections. A tradeoff exists for teams that need only lightweight status dashboards, because Falcon Insight focuses on investigative timelines and enriched telemetry rather than simple metrics reporting.
This makes the tool a strong fit for environments that investigate phishing outcomes, malware execution paths, and suspicious process trees on managed endpoints. It is also useful when analysts need consistent context for triage across endpoints with different operating histories and user activity patterns.
- +Detailed endpoint timeline supports fast investigation and root-cause analysis
- +Strong process, network, and user context enrichment for client monitoring
- +Integrates cleanly with Falcon detection so monitoring findings accelerate response
- –Client monitoring depends on agent coverage and data intake health
- –Investigation depth can create navigation overhead for lighter monitoring needs
- –Advanced use requires tuning to reduce noise in high-volume environments
Security analysts triaging alerts
Build process and network event timelines
Quicker incident scoping and containment
SOC investigators during malware response
Reconstruct execution chain and user context
Clearer root cause analysis
Show 2 more scenarios
Threat hunting teams
Hunt for suspicious endpoint behaviors
Better evidence for detections
Correlates endpoint telemetry into narratives that support hunting across processes and related network activity.
IT teams supporting investigations
Provide device-specific activity context
Reduced back-and-forth during triage
Supplies enriched device and user details that help IT answer questions during endpoint investigations.
Best for: Security teams needing rich endpoint client monitoring for incident triage
Trellix ePO
security managementTrellix ePO centrally manages security agents and monitoring for endpoints to enforce policies and report security status.
ePO policy engine supports automated response actions tied to endpoint events
Trellix ePO stands out as an endpoint-centric management console that pairs client monitoring with policy-driven enforcement and long-term visibility. It centralizes agent-based data collection for Windows, macOS, and Linux endpoints, then correlates events into dashboards and reports for security operations. Core capabilities include rule-based response workflows, vulnerability and patch visibility, and integration with threat feeds for investigation context.
- +Centralized endpoint monitoring with policy-driven actions via its ePO console
- +Strong visibility through vulnerability, patch, and threat event reporting
- +Scales for large agent fleets with role-based access controls
- +Integrates monitoring signals with security products for investigation context
- –Console configuration complexity increases time-to-proficiency for new teams
- –Data and reporting tuning require ongoing maintenance to stay useful
- –More enterprise-oriented than lightweight monitoring needs
Best for: Enterprises needing agent-based endpoint monitoring and governed response workflows
SentinelOne Singularity
autonomous EDRSingularity delivers autonomous endpoint detection and response with continuous monitoring and automated containment for managed clients.
Automated investigation and response orchestration inside the Singularity platform
SentinelOne Singularity stands out with unified endpoint, identity, and threat detection under one Singularity platform. It supports continuous client telemetry collection, automated investigation workflows, and security response actions such as isolation. Client monitoring is delivered through centralized visibility across endpoints and servers, plus rich alert and incident context for operational handling.
- +Unified Singularity console correlates endpoint, identity, and threat events
- +Automated investigation workflows reduce manual triage effort
- +Response actions like isolate endpoints speed containment
- +Rich telemetry supports faster root-cause analysis for client incidents
- –Workflow setup and tuning take security operations expertise
- –Interface density can slow first-time analysts during investigations
- –Value depends heavily on agent coverage and data quality across endpoints
- –Deep monitoring breadth can require ongoing policy management
Best for: Security operations teams needing automated client endpoint monitoring and response
Sophos Central Endpoint
central managementSophos Central Endpoint monitors endpoints for threats, enforces security policies, and generates alerts for client visibility.
Sophos Central Endpoint behavioral detection with automated response policies
Sophos Central Endpoint stands out with centralized security operations for endpoint visibility and response across Windows, macOS, and Linux. It provides agent-based telemetry such as application control and device posture signals that support monitoring and investigation workflows. The console supports alert triage and automated actions through Sophos policy and response modules.
- +Central console unifies endpoint alerts, telemetry, and response workflows
- +Agent-based visibility supports investigation of file, process, and behavior events
- +Policy-driven actions enable consistent monitoring and remediation at scale
- –Client-monitoring depth depends on enabled modules and tuned policies
- –Operational workflows can feel security-centric rather than user-centric
Best for: Organizations needing endpoint telemetry and automated response in one console
Palo Alto Networks Cortex XDR
XDRCortex XDR provides cross-endpoint monitoring and threat detection by combining telemetry and correlation across security layers.
Autonomous Cortex XDR investigation and response orchestration using analyst and playbook workflows
Cortex XDR stands out by tying endpoint detection and response telemetry to automated investigation and containment actions. It monitors client devices through endpoint visibility, behavioral detections, and integration with prevention controls.
Investigations can be driven by alerts and enriched context across endpoints, users, and event sources. The product also supports orchestration via playbooks for response workflows on managed devices.
- +Automated investigation workflows speed triage and reduce manual correlation work
- +Deep endpoint behavioral detections with strong context for faster root-cause analysis
- +Playbook-based response enables consistent containment actions across endpoints
- +Broad integration with security telemetry improves visibility beyond local endpoint signals
- –Operational setup requires careful tuning to avoid alert fatigue
- –Console workflows can feel complex for teams without an existing security operations process
- –Client monitoring value depends on agent health and coverage across endpoints
Best for: Enterprises needing advanced endpoint visibility, automated triage, and controlled response workflows
IBM QRadar SIEM
SIEMQRadar SIEM aggregates logs and events to monitor client systems, detect anomalies, and support incident investigation.
Real-time correlation with offense creation and prioritized incident investigation
IBM QRadar SIEM stands out with strong network and security log analytics focused on detecting and investigating threats across complex, multi-source environments. Core capabilities include event collection, correlation rules, real-time detection workflows, and automated case support for incident investigation. The platform also supports threat intelligence integration and centralized reporting for audit-ready visibility into security events tied to endpoints, networks, and identity activity.
- +Powerful correlation rules for faster detection across diverse log sources
- +Centralized incident investigation with searchable event timelines
- +Strong integration for threat intelligence and contextual enrichment
- –Rule and pipeline tuning adds overhead during initial deployment
- –User experience can feel complex for teams without SIEM specialists
- –Client monitoring coverage depends on correctly mapped log sources
Best for: Security operations teams needing SIEM-grade client visibility and investigation workflows
Google Chronicle Security Operations
security analyticsChronicle collects and analyzes security telemetry to enable client monitoring, detection engineering, and incident response workflows.
Chronicle’s Security Analytics and investigation powered by indexed, normalized event data
Google Chronicle Security Operations stands out by centering client monitoring on advanced security analytics over large-scale telemetry. It ingests and normalizes logs from multiple sources to power detection use cases and investigation workflows. The platform supports behavioral detection through queryable event data and integrated incident investigation, including enrichment to reduce analyst effort.
- +Strong detection and investigation workflows built on normalized event telemetry
- +Powerful search and analytics for client activity and security event correlation
- +Scales well for high-volume log ingestion and retention-focused monitoring
- –Setup and tuning require significant security engineering effort
- –Operational usability depends on data quality and well-designed detection content
- –Limited out-of-the-box guidance for client-specific monitoring workflows
Best for: Organizations needing scalable client telemetry monitoring with security analytics depth
Sumo Logic
log analyticsSumo Logic provides cloud monitoring and security analytics with searchable logs and real-time alerting for client environments.
Anomaly detection and automated insights over machine data for faster incident triage
Sumo Logic stands out with machine data analytics that turns logs, metrics, and traces into searchable signals for client-facing reliability and performance monitoring. It provides continuous ingestion, real-time alerting, and dashboards that support service health views across teams.
Built-in anomaly detection and automated investigations accelerate root-cause workflows for issues impacting customer experiences. The platform also supports Sumo Logic Observability solutions for deeper trace and application telemetry alignment.
- +Unified log, metric, and trace monitoring in one analytics workflow
- +Real-time alerting with anomaly detection to surface client-impacting issues
- +Dashboards and saved searches support fast recurring operational reviews
- –Query design requires skill to keep investigations fast and accurate
- –High-volume environments can lead to operational tuning overhead
- –Alert-to-action workflows still depend on external incident processes
Best for: Organizations needing analytics-driven client monitoring across distributed services
Conclusion
After evaluating 10 cybersecurity information security, Rapid7 InsightIDR stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Client Monitoring Software
This buyer's guide covers client monitoring software used to track user and device behavior, collect endpoint telemetry, and connect detections to investigation workflows. Coverage includes Rapid7 InsightIDR, Microsoft Defender for Endpoint, CrowdStrike Falcon Insight, Trellix ePO, SentinelOne Singularity, Sophos Central Endpoint, Palo Alto Networks Cortex XDR, IBM QRadar SIEM, Google Chronicle Security Operations, and Sumo Logic.
The guide focuses on integration depth, data model choices, automation and API surface readiness, and admin governance controls. Each section explains how these controls affect throughput during monitoring and how much tuning effort security teams must budget for client-grade signal quality.
Client telemetry monitoring and investigation tooling for endpoint and user-device behavior
Client monitoring software collects and correlates client telemetry such as process execution, network activity, device signals, and user context to support ongoing detection and investigation. It also reduces analyst work by building timelines, linking evidence to alerts, and automating response actions like device isolation.
Rapid7 InsightIDR and CrowdStrike Falcon Insight illustrate the client-focused model by emphasizing entity timelines and endpoint activity narratives instead of single-point scans. Microsoft Defender for Endpoint shows the same monitoring goal tied to Microsoft security telemetry and investigation timelines across monitored clients.
Evaluation criteria that map to integration depth, data model, and governance control
Client monitoring outcomes depend on how telemetry is represented in the tool’s data model and how that model connects to automation and investigation. Rapid7 InsightIDR builds entity timelines from user and device behavior analytics, which directly affects investigation speed and the quality of prioritized alerts.
Governance controls decide which analysts can change detection or response behavior and what auditing exists for those changes. Trellix ePO and IBM QRadar SIEM both emphasize operational governance through centralized management and correlated incident workflows that support audit-ready investigation paths.
Entity-first timelines that connect user and device activity
Rapid7 InsightIDR provides Entity Behavior Analytics with entity timelines that consolidate user and device activity for faster investigations. CrowdStrike Falcon Insight adds an endpoint activity narrative using Falcon Insight Graph to keep process and network events connected across sessions.
Automation surface for investigation and response actions
Microsoft Defender for Endpoint includes automated remediation options like device isolation and blocking indicators tied to investigation workflows. Palo Alto Networks Cortex XDR adds playbook-based response so containment actions can run consistently from analyst workflows.
Detection and correlation content tied to real telemetry sources
Rapid7 InsightIDR correlates endpoint telemetry with common data sources to centralize client signal intake and prioritize alerts through detection rules and threat intelligence. IBM QRadar SIEM focuses on real-time correlation with offense creation based on correctly mapped log sources.
Policy-driven agent management and governed response workflows
Trellix ePO pairs centralized agent-based collection with an ePO policy engine that supports automated response actions tied to endpoint events. Sophos Central Endpoint provides centralized alerting and response using Sophos policy and response modules across Windows, macOS, and Linux.
Data ingestion model that supports search, normalization, and high-volume monitoring
Google Chronicle Security Operations uses indexed, normalized event data so behavioral detection and investigation remain queryable at scale. Sumo Logic combines log, metrics, and trace monitoring with anomaly detection that helps surface client-impacting issues during real-time alerting.
Admin governance controls that constrain change and maintain auditability
Trellix ePO includes role-based access controls in the ePO console so large agent fleets can be managed with scoped permissions. IBM QRadar SIEM supports centralized incident investigation with searchable event timelines that help teams demonstrate audit-ready visibility tied to endpoints, networks, and identity activity.
A decision path for client monitoring tool fit across telemetry, automation, and governance
A workable selection starts by aligning the tool’s data model with the investigation workflow needed for client incidents. Tools like Rapid7 InsightIDR and CrowdStrike Falcon Insight build narrative timelines that reduce context switching during triage.
Next, confirm how automation and governance controls affect real operations. Microsoft Defender for Endpoint and Palo Alto Networks Cortex XDR offer automated remediation and playbook orchestration, while Trellix ePO and IBM QRadar SIEM provide centralized governance through console management and correlated incident workflows.
Map the investigation workflow to the tool’s timeline or narrative model
Choose Rapid7 InsightIDR when client investigations require entity timelines that consolidate user and device behavior. Choose CrowdStrike Falcon Insight when investigations require an endpoint activity narrative built across process execution, network activity, and user context.
Verify automation paths from detection to containment
Select Microsoft Defender for Endpoint when remediation needs automated isolation and blocking indicators directly tied to monitored device events. Select SentinelOne Singularity or Palo Alto Networks Cortex XDR when response orchestration and playbook-driven containment actions are required for consistent incident handling.
Assess integration depth by checking what telemetry sources the tool correlates in practice
Use Rapid7 InsightIDR when endpoint telemetry must be correlated with threat intelligence and common data sources to prioritize alerts. Use IBM QRadar SIEM or Google Chronicle Security Operations when client visibility must come from multi-source logs mapped into correlation rules or normalized event data for detection engineering.
Design the data model for searchability at the scale of client signals
Choose Google Chronicle Security Operations when normalized, indexed event telemetry is required to keep behavioral detection queryable. Choose Sumo Logic when unified log, metric, and trace analytics supports anomaly detection and fast recurring reviews for client-impacting issues.
Lock down governance so changes stay controlled and auditable
Use Trellix ePO when governed response workflows must be implemented with role-based access controls across agent fleets. Use IBM QRadar SIEM when incident investigation requires offense creation with prioritized workflows and searchable timelines for audit-ready visibility.
Client monitoring tool selections by enterprise security and operations needs
Client monitoring needs vary based on how incidents are investigated, which telemetry sources must be correlated, and how containment is executed. Several tools target different operational maturity levels by emphasizing timelines, automation orchestration, or SIEM-grade correlation.
The segments below map directly to how each tool’s best-fit monitoring workflow was described for security teams.
Security operations teams prioritizing client-focused triage with entity-level timelines
Rapid7 InsightIDR and CrowdStrike Falcon Insight fit teams that want investigations anchored in user and device narratives rather than isolated alerts. Rapid7 InsightIDR adds Entity Behavior Analytics with entity timelines, while Falcon Insight Graph constructs an endpoint activity narrative across processes and events.
Enterprises standardizing on Microsoft telemetry and automated investigation plus remediation
Microsoft Defender for Endpoint fits environments that need deep endpoint monitoring built on Microsoft security telemetry and device investigation timelines. The tool includes automated remediation like device isolation and blocking indicators, which supports client response workflows without manual-only containment.
Organizations that need governed agent management and policy-driven response across heterogeneous endpoints
Trellix ePO and Sophos Central Endpoint fit teams that run endpoint agent fleets across Windows, macOS, and Linux. Trellix ePO emphasizes an ePO policy engine for automated response actions with role-based access controls, while Sophos Central Endpoint centralizes policy-driven actions using telemetry such as application control and device posture.
Enterprises requiring playbook-orchestrated containment with advanced endpoint behavioral detections
Palo Alto Networks Cortex XDR fits security programs that want automated investigation workflows and playbook-based response actions. SentinelOne Singularity fits teams that need autonomous investigation workflows with response orchestration and containment actions like isolation inside the Singularity platform.
SIEM-grade client visibility from multi-source logs with correlation and prioritized incident investigation
IBM QRadar SIEM fits teams that map log sources into real-time correlation rules that create offenses and drive prioritized investigation. Google Chronicle Security Operations fits teams that require indexed, normalized event telemetry for scalable detection engineering and investigation.
Operational pitfalls that cause client monitoring noise, slow triage, or governance drift
Common failures come from ignoring tuning effort, underestimating dependence on agent coverage, and selecting a tool whose data model does not match the investigation workflow. Several reviewed tools call out setup and tuning complexity that directly impacts alert fidelity and investigation throughput.
Governance mistakes also show up when centralized console permissions are not aligned with who can change detection logic or response behavior.
Treating detection content as plug-and-play across a large client fleet
Rapid7 InsightIDR and Microsoft Defender for Endpoint both describe setup and tuning complexity and alert volume noise risks when rules are not carefully tuned. Cortex XDR and IBM QRadar SIEM also call out the need for operational setup and pipeline tuning to avoid alert fatigue and slow incident workflows.
Overlooking agent coverage and data intake health as a prerequisite for client monitoring timelines
Falcon Insight explicitly ties client monitoring value to agent coverage and data intake health, and it notes navigation overhead for lighter monitoring needs. SentinelOne Singularity also states that value depends heavily on agent coverage and data quality across endpoints.
Choosing a log analytics platform without designing fast query and investigation workflows
Chronicle and Sumo Logic both depend on well-designed detection content and query design, which affects investigation speed and accuracy. Chronicle requires significant security engineering effort to keep operational usability aligned with normalized event telemetry, and Sumo Logic requires query skill to prevent slow investigations.
Missing governance controls for who can modify detection and response behavior
Trellix ePO offers role-based access controls, which should be mapped to analyst and admin roles to prevent unauthorized policy changes. IBM QRadar SIEM supports centralized incident investigation with searchable timelines, which helps maintain audit-ready visibility when governance is enforced.
How We Selected and Ranked These Tools
We evaluated Rapid7 InsightIDR, Microsoft Defender for Endpoint, CrowdStrike Falcon Insight, Trellix ePO, SentinelOne Singularity, Sophos Central Endpoint, Palo Alto Networks Cortex XDR, IBM QRadar SIEM, Google Chronicle Security Operations, and Sumo Logic using feature fit, ease of use, and value. Each overall rating reflects a weighted average where features carries the most weight, while ease of use and value each contribute equally to the final score. This scoring reflects editorial research based on the provided tool capabilities, not hands-on lab testing or private benchmark experiments.
Rapid7 InsightIDR separated from lower-ranked options because Entity Behavior Analytics with entity timelines consolidates user and device investigations into a single investigative view. That strength increased its features score by reducing context switching during client triage and it also supported higher ongoing monitoring effectiveness through flexible detections tied to threat intelligence and tuned analytics workflows.
Frequently Asked Questions About Client Monitoring Software
How do Rapid7 InsightIDR and CrowdStrike Falcon Insight differ in how investigations are presented?
Which tools provide stronger investigation workflows tied to enterprise detection and response automation?
What integration paths and APIs are typically used to connect client monitoring data into SIEM and ticketing workflows?
How do SSO and RBAC models affect admin control for client monitoring consoles?
What data migration steps are usually required when switching client monitoring tools with existing endpoint agents?
How do admin controls and configuration governance differ between agent-centric consoles and analytics-first platforms?
What extensibility options matter most when teams need custom detections and automated response logic?
Why might Falcon Insight be a weaker fit for teams that only need simple monitoring metrics?
How do client monitoring tools handle security isolation and containment actions during active incidents?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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