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Cybersecurity Information SecurityTop 10 Best Mxdr Cybersecurity Services of 2026
Ranking roundup of top mxdr cybersecurity services with evaluation notes for teams, including providers like Red Canary, Cisco, and Arctic Wolf.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Red Canary is the best fit when enterprise security teams need managed detections with analyst-led tuning and hunting across endpoint, cloud, identity, and network telemetry, whereas Cisco Managed XDR is the better alternative if your priority is managed detection that aligns tightly with Cisco telemetry and operations.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Red Canary
Analyst-led threat hunting that feeds back into detection logic with measurable tuning outcomes.
Best for: Fits when enterprise security teams need managed detections with analyst-led tuning and hunting.
Cisco
Editor pickCisco incident workflow ties detection events to investigation evidence packages for consistent handoffs during managed response.
Best for: Fits when enterprise security teams need managed detection with Cisco telemetry alignment.
Arctic Wolf
Editor pickAnalyst and engineering operations that continuously tune detections based on observed environment activity, not static alerting.
Best for: Fits when enterprise SOC teams need managed monitoring, response execution, and ongoing detection tuning.
Comparison Table
Red Canary
specialistProvides managed detection and response across endpoint, cloud, identity, and network telemetry.
Analyst-led threat hunting that feeds back into detection logic with measurable tuning outcomes.
Red Canary’s monitoring workflow is built around analyst review of high-signal detections, followed by documented investigative steps for confirmation and containment actions. Telemetry onboarding focuses on reliable ingestion and normalization so detections stay stable as logging sources change, and it supports integrations for common security tooling used in enterprise security operations centers. The service also supports threat hunting activities that translate observed patterns into refined detections over time.
A key tradeoff is that value depends on disciplined telemetry coverage and change management for endpoints, identity sources, and relevant audit logs. Red Canary works best when security operations teams can provide access to environment context and participate in detection tuning cycles, especially during migrations of endpoint agents or identity providers.
- +High-signal detections built from ATT&CK-aligned behavioral logic
- +Triage workflows that standardize investigation steps across analysts
- +Telemetry onboarding designed to keep detections stable during change
- +Threat hunting outcomes converted into improved detections
- –Detection quality drops when endpoint and identity telemetry is incomplete
- –Requires governance for tuning decisions to prevent drift
- –Network and cloud visibility depends on specific log source coverage
Security operations center analysts
Daily triage of endpoint alerts
Lower mean time to respond
Enterprise incident response teams
Coordinated containment after detection
More consistent incident handling
Show 2 more scenarios
Detection engineering leads
Ongoing tuning of detections
Improved signal-to-noise
Detection refinement reduces false-positive rate while preserving coverage for high-risk behaviors.
Identity and access security teams
Investigation of identity-driven activity
Earlier detection of identity threats
Identity and related telemetry are incorporated to surface risky authentication and session patterns.
Best for: Fits when enterprise security teams need managed detections with analyst-led tuning and hunting.
Cisco
enterprise_vendorCisco Managed XDR provides managed detection and response across network, endpoint, and cloud sources.
Cisco incident workflow ties detection events to investigation evidence packages for consistent handoffs during managed response.
Cisco is a strong option for managed extended detection and response programs when there is an existing Cisco footprint that can supply consistent network, endpoint, and control-plane telemetry. Detection engineering support is oriented around correlation rules and tuning cycles that reduce alert fatigue while preserving coverage across common enterprise attack paths. The service workflow is built around 24/7 monitoring and structured incident response handoffs that support faster alert triage.
A tradeoff appears when the environment has fragmented identity and log pipelines, because deeper correlation quality depends on reliable event normalization and connector coverage across each source. Cisco works best when a security operations center team can designate ownership for log onboarding, detection feedback, and evidence packaging during investigations. A typical fit is a global enterprise that needs faster mean time to respond without losing control of detection changes.
- +Cross-source correlation guidance across network, endpoint, and identity telemetry
- +Incident response workflow with structured escalation and evidence collection
- +24/7 monitoring operations aligned to SOC triage and investigation stages
- +Integration depth for organizations standardizing on Cisco-controlled telemetry
- –Correlation quality depends on consistent log onboarding and event normalization
- –Detection tuning requires internal security feedback loops to sustain outcomes
- –Some advanced automation paths require governance and change control discipline
Global SOC leadership
Reduce investigation churn across alerts
Lower mean time to respond
Security engineering teams
Tune detections without downtime
Stabilized alert throughput
Show 2 more scenarios
Network security owners
Monitor attack behavior in transit
Earlier attack confirmation
Telemetry from network controls feeds managed detection and investigation for suspicious activity paths.
Identity security teams
Detect account abuse signals
Fewer missed identity incidents
Identity telemetry is incorporated into managed correlation to support investigation of anomalous access patterns.
Best for: Fits when enterprise security teams need managed detection with Cisco telemetry alignment.
Arctic Wolf
specialistArctic Wolf Managed Detection and Response extends across endpoint, network, and cloud telemetry sources.
Analyst and engineering operations that continuously tune detections based on observed environment activity, not static alerting.
Arctic Wolf brings a SOC-style operating model that focuses on alert triage, escalation paths, and analyst-led detection engineering tied to real environment activity. The workflow emphasizes correlation logic and behavioral analytics outputs that feed investigations and response actions. Coverage spans endpoint telemetry, network and cloud signals, and identity events when integrations are in place. This model fits enterprises that want documented monitoring-to-response processes with ongoing tuning instead of periodic rule delivery.
A key tradeoff is that outcomes depend on initial telemetry onboarding quality and the discipline of maintaining data sources and identity mappings. When log ingestion gaps appear or data freshness degrades, triage throughput and detection confidence drop until ingestion and normalization are corrected. Arctic Wolf is most effective when teams can supply stable access for telemetry collection and participate in incident scoping and post-incident improvements.
- +Analyst-led triage with documented escalation paths
- +Incident response workflow tied to detection tuning
- +Threat hunting engagement that targets environment-specific activity
- +Broad telemetry onboarding across endpoint, cloud, and identity sources
- –Telemetry onboarding quality strongly affects detection confidence
- –Integration-heavy deployments need governance to keep signal aligned
- –Investigation depth depends on identity event fidelity and mapping
Enterprise SOC leads
Reduce mean time to respond
Faster containment decisions
Security engineering managers
Improve detection engineering throughput
Lower false-positive rate
Show 2 more scenarios
Cloud security owners
Detect identity and cloud misuse
Quicker lateral movement detection
Integrations bring cloud audit and identity events into the investigation pipeline.
Regional IT operations
Standardize response across sites
More repeatable investigations
A consistent operational workflow supports uniform triage and incident escalation.
Best for: Fits when enterprise SOC teams need managed monitoring, response execution, and ongoing detection tuning.
CrowdStrike
enterprise_vendorFalcon Complete provides managed extended detection and response across endpoint, identity, and cloud.
Falcon Fusion correlates behavioral signals across endpoints and cloud activity to drive investigation workflows.
CrowdStrike is a managed extended detection and response provider that pairs endpoint and identity telemetry with threat intelligence for fast detection and response. Its Falcon platform supports endpoint detection and response, cloud detection and response, and security orchestration automation and response workflows managed through the Falcon console.
- +Detection engineering workflow yields actionable alerts with clear enrichment
- +Extensive integration surface for endpoint, identity, and cloud telemetry ingestion
- +Automation playbooks support consistent containment across incident types
- +Threat hunting tooling helps validate detections against adversary behavior
- –Automation and response tuning requires governance to prevent risky actions
- –Advanced configuration depth can slow onboarding for SOC teams with limited ownership
- –Noise control depends on rule tuning and data completeness across environments
- –Some cloud telemetry coverage varies by platform enablement and logging posture
Best for: Fits when enterprise SOC teams want managed detection coverage across endpoints, identity, and cloud.
Microsoft
enterprise_vendorMicrosoft Defender Experts for XDR provides managed hunting and response across Microsoft Defender signals.
Microsoft Defender XDR advanced hunting and incident workflows that stitch endpoint, identity, and cloud alerts into one investigation timeline.
Microsoft delivers managed extended detection and response through Microsoft Defender for Endpoint and Microsoft Defender for Cloud, with centralized incident views in Microsoft Defender XDR. It correlates endpoint, identity, and cloud signals into unified alerts, then supports automated investigation and response workflows via security orchestration automation and response integration points.
- +Deep identity integration using Entra ID signals for detection and containment
- +Unified cross-domain alert experience across endpoints, identities, and cloud resources
- +Automation hooks through Microsoft APIs and security workflow integrations
- +Strong telemetry coverage for Microsoft-managed endpoints and cloud workloads
- –Best results depend on consistent Microsoft telemetry ingestion and policy alignment
- –External SOAR playbooks need careful mapping to Microsoft alert data fields
- –Some detections are tuned around Microsoft environments, not mixed-only estates
Best for: Fits when enterprises run Microsoft identity and endpoint fleets and want unified detection with automation.
Palo Alto Networks
enterprise_vendorCortex XSIAM delivers managed detection and response across network, endpoint, and cloud telemetry.
Managed investigation workflow built around Palo Alto detection content and operational tuning, not only raw alert intake.
Palo Alto Networks fits enterprise security operations teams that already standardize on Palo Alto security tooling and need managed extended detection and response tied into that stack. Its managed detection and response workflow centers on traffic, endpoint, cloud, and identity telemetry collected for correlation and investigation across the security operations center.
- +Deep integration with Palo Alto security products for consistent telemetry and enforcement
- +Detection tuning workflow targets recurring alert fatigue instead of only adding rules
- +Incident handling emphasizes structured investigation steps and escalation paths
- +RBAC and audit logs support governance across security operations roles
- –Best results depend on clean source telemetry and stable device and identity mappings
- –Some advanced detections require disciplined configuration of forwarding and parsing
- –Cross-domain correlation can lag when environments span multiple identity providers
- –Extensibility depends more on Palo Alto-centric integration points than generic connectors
Best for: Fits when enterprises need managed detection and response with tight integration into existing Palo Alto security operations.
Deepwatch
specialistDeepwatch Managed XDR provides 24/7 managed detection and response across multi-vendor security telemetry.
Detection engineering delivered as a managed service, combining correlation rule tuning with continuous operational feedback loops.
Deepwatch differentiates through managed security engineering that pairs live monitoring with detection development, not just alert handling.
- +Detection engineering support is built into managed monitoring workflows
- +API-based integrations support pulling alerts and pushing case data
- +Operational playbooks help standardize triage and escalation decisions
- +Telemetry onboarding guidance reduces gaps between logs and detections
- –Shared responsibility requires governance discipline on detection changes
- –Coverage depth depends on what telemetry sources are onboarded
- –Multi-domain onboarding can extend setup timelines for complex estates
- –Reporting prioritizes operational outcomes over deep analytics exports
Best for: Fits when enterprise security teams want managed detection engineering plus 24/7 SOC triage with API-integrated operations.
BlueVoyant
specialistBlueVoyant Managed XDR combines internal telemetry with external threat intelligence for detection and response.
Analyst workflow orchestration that turns correlated alerts into repeatable investigation and response runs across multiple telemetry sources.
BlueVoyant delivers managed extended detection and response with a dedicated security operations capability that handles monitoring, alert triage, and incident response workflows for enterprise environments. Its MxDR delivery model emphasizes integration depth across endpoint, network, cloud, and identity telemetry so detections can be tuned against real operating baselines.
- +Operations-led MxDR workflows that cover triage through coordinated response
- +Telemetry integration across endpoint, cloud, and identity sources for broader detection coverage
- +Automation in investigation loops reduces analyst time on repeated checks
- +RBAC and audit trail support change review for security operations governance
- –Onboarding and tuning require active collaboration from the customer security team
- –Detection engineering depth can vary by data source maturity and log quality
- –Extensibility via custom detections depends on integration readiness of each telemetry stream
- –Operational throughput may be constrained during high-incident volume periods
Best for: Fits when enterprise teams want managed MxDR with integration-led detection tuning and governance-grade operations.
ReliaQuest
specialistGreyMatter provides managed detection and response across endpoint, cloud, network, and identity telemetry.
ReliaQuest detection engineering process turns customer-specific correlation needs into maintainable SOC logic for recurring investigations.
ReliaQuest performs managed detection and response by running SOC workflows on customer telemetry and translating findings into investigation-ready cases. The service emphasizes detection engineering, alert correlation, and threat intelligence driven hunting routines across endpoint, network, cloud, and identity sources.
- +SOC workflows that convert telemetry into investigation cases with consistent triage steps
- +Detection engineering support for correlation logic and tuning against recurring alert patterns
- +Hunting routines tied to threat intelligence signals and mapped campaign behaviors
- +Security orchestration automation options for enrichment and response actions
- –Instrumenting and normalizing diverse telemetry sources can require sustained onboarding work
- –Higher admin effort for playbook tuning when environments differ widely across business units
- –Deep identity coverage depends on quality and availability of identity telemetry sources
- –Operational visibility still depends on analyst handoff practices and internal change windows
Best for: Fits when enterprise SOC teams need managed detection operations plus detection engineering and hunting guidance.
Binary Defense
specialistBinary Defense Managed Detection and Response covers endpoint, network, cloud, and identity telemetry sources.
Human-led triage paired with managed detection engineering to stabilize detections during ongoing operations.
Binary Defense operates as a managed MxDR service that centers on incident response workflows driven by security telemetry from endpoints, networks, and identity sources. The service workflow emphasizes alert triage, investigation support, and managed detection engineering to reduce repeat noise and improve coverage consistency.
- +Incident response workflow support for investigations, not only alert notifications
- +Managed detection engineering focus to reduce recurring false positives
- +Cross-source telemetry intake for endpoints, network, and identity signals
- +Operational playbooks guide investigation steps during active incidents
- –Depth depends on customer telemetry quality and log completeness
- –Automation and API-driven governance are less central than analyst workflows
- –Tuning cycles can take time to stabilize detections after environment changes
- –Extensibility for custom detections requires more coordination than plug-and-play
Best for: Fits when enterprise teams want analyst-led detection tuning and incident response execution support.
Conclusion
After evaluating 10 mxdr cybersecurity, Red Canary 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 Mxdr Cybersecurity
Managed extended detection and response services bring analyst-led triage, detection engineering, and incident workflows together so enterprises can reduce mean time to detect and mean time to respond across endpoints, identity, and cloud. This guide compares Secureworks, Unit 42, IBM Security, and other providers against how their monitoring and response execution actually fits enterprise operations.
The comparison emphasizes integration depth, automation and API surface, and governance controls that affect detection tuning outcomes. Red Canary, Cisco, Arctic Wolf, CrowdStrike, Microsoft, and Palo Alto Networks are included as concrete anchors for what different mxdr cybersecurity operating models look like in practice.
Mxdr Cybersecurity as managed detection engineering plus monitored incident response
Mxdr cybersecurity is a managed model where a security operations center runs 24/7 monitoring, performs alert triage, and executes incident response workflows backed by ongoing detection engineering. Providers like Red Canary focus on analyst-led threat hunting that feeds back into detection logic with measurable tuning outcomes, while Cisco centers its managed response workflow around tying detection events to structured investigation evidence packages.
Beyond alert handling, mxdr cybersecurity depends on how services normalize and correlate multi-source telemetry for recurring investigations. CrowdStrike Falcon Fusion correlates behavioral signals across endpoints and cloud activity to drive investigation workflows, while Microsoft stitches endpoint, identity, and cloud alerts into one investigation timeline through Defender XDR advanced hunting and incident workflows.
Mxdr Cybersecurity capabilities that drive detection quality and response speed
Mxdr cybersecurity succeeds when managed detection engineering turns telemetry into high-signal detections and when incident workflows turn alerts into consistent investigation evidence. Red Canary pairs analyst-led threat hunting with measurable tuning outcomes, which matters when SOC teams need fewer low-quality alerts.
Providers differ most in integration depth, the automation surface for triage and response, and governance controls that prevent detection drift. Cisco emphasizes an evidence-package incident workflow, while CrowdStrike Falcon Fusion correlates behavioral signals across endpoints and cloud activity to guide investigation steps.
Analyst-led tuning loops tied to detection logic
Red Canary feeds analyst-led threat hunting into detection logic with measurable tuning outcomes, which stabilizes detection quality over time. Arctic Wolf uses continuous tuning based on observed environment activity instead of static alerting.
Cross-source investigation workflows with structured evidence
Cisco ties detection events to investigation evidence packages for consistent handoffs during managed response. BlueVoyant orchestrates correlated alerts into repeatable investigation and response runs across endpoint, cloud, and identity sources.
Automation and response governance to prevent risky actions
CrowdStrike requires governance for automation and response tuning to prevent risky actions while Falcon Fusion turns behavioral signals into investigation workflows. Deepwatch adds managed detection engineering with API-integrated operations, but shared responsibility needs governance discipline on detection changes.
Identity and Microsoft telemetry stitching into unified investigations
Microsoft Defender XDR stitches endpoint, identity, and cloud alerts into one investigation timeline and uses Entra ID signals for detection and containment. Palo Alto Networks targets managed investigation workflows that rely on clean source telemetry and stable device and identity mappings for best results.
Managed detection engineering plus maintainable SOC logic
ReliaQuest turns customer-specific correlation needs into maintainable SOC logic for recurring investigations and supports detection operations plus hunting guidance. Binary Defense combines human-led triage with managed detection engineering to stabilize detections and reduce recurring false positives.
A decision framework for managed detection and response operating models
The first fork should be about who performs detection change decisions and how those changes are governed. Red Canary and Arctic Wolf lean on analyst-led tuning and ongoing detection evolution, which fits teams that want continuous improvement and can support tuning governance.
The second fork should be about how the service operationalizes investigations across telemetry domains. Cisco builds evidence packages into its incident workflow, while CrowdStrike Falcon Fusion and Microsoft Defender XDR prioritize cross-domain correlation that drives investigation timelines and enrichment.
Select the tuning ownership model that matches SOC governance capacity
Red Canary and Arctic Wolf make detection tuning and threat-hunting feedback central, so governance discipline is required to prevent drift in detection decisions. CrowdStrike and Deepwatch both require governance to manage automation and shared responsibility on detection changes.
Choose the investigation handoff shape that fits incident response execution
Cisco builds structured escalation and evidence collection into the incident response workflow so analysts can hand off investigations consistently. BlueVoyant instead focuses on orchestration that turns correlated alerts into repeatable investigation and response runs across multiple telemetry sources.
Match telemetry alignment assumptions to the environment onboarding reality
Microsoft Defender XDR delivers deep identity integration using Entra ID signals, so consistent Microsoft telemetry ingestion and policy alignment affects results. Palo Alto Networks depends on clean source telemetry and stable device and identity mappings, so forwarding and parsing configuration quality becomes a determinant.
Verify the API and integration surface supports operational automation without fragile mappings
Deepwatch supports API-integrated operations for alert pulling and pushing case data, which can reduce manual handling during 24/7 triage. CrowdStrike has an extensive integration surface for endpoint, identity, and cloud telemetry ingestion, but automation tuning still needs governance controls.
Pick the service that turns recurring alert patterns into maintainable SOC logic
ReliaQuest converts telemetry into investigation cases with consistent triage steps and provides detection engineering support for correlation logic and tuning against recurring alert patterns. Binary Defense focuses on managed detection engineering to reduce recurring false positives while keeping human-led triage central to ongoing stabilization.
Confirm the dependency on telemetry completeness for detection confidence
Red Canary detection quality drops when endpoint and identity telemetry is incomplete, so onboarding completeness affects mean time to detect and investigation outcomes. Arctic Wolf similarly links detection confidence to telemetry onboarding quality, so gaps in endpoint, identity, or cloud sources reduce detection strength.
Who should buy Mxdr Cybersecurity services
Mxdr cybersecurity fits enterprises that need 24/7 monitoring with alert triage and incident response execution that is backed by ongoing detection engineering. It also fits organizations that have enough telemetry sources to justify cross-domain correlation and can support governance for detection changes.
Red Canary, Cisco, and Arctic Wolf align well when SOC teams want managed detections that evolve with observed activity, evidence workflows that reduce handoff variance, and continuous tuning rather than static rule packs.
Enterprise SOC teams that want analyst-led detection tuning and measurable tuning outcomes
Red Canary and Arctic Wolf center analyst-led threat hunting or continuous tuning based on observed environment activity, which reduces reliance on static alerting and supports ongoing detection evolution.
Enterprises running incident response workflows that require structured evidence packages for handoffs
Cisco ties detection events to investigation evidence packages with structured escalation and evidence collection, which reduces inconsistency during managed response transitions.
Teams that need cross-domain correlation across endpoints, identity, and cloud
CrowdStrike Falcon Fusion correlates behavioral signals across endpoints and cloud activity, and Microsoft Defender XDR stitches endpoint, identity, and cloud alerts into a single investigation timeline.
Organizations that can provide active collaboration for integration-led detection tuning
BlueVoyant requires onboarding and tuning collaboration from the customer security team, and detection engineering depth can vary by data source maturity and log quality.
Enterprises that want maintainable correlation logic for recurring investigations across business units
ReliaQuest builds detection engineering support into SOC workflows for recurring alert patterns, but higher admin effort can be needed when environments differ across business units.
Common Mxdr Cybersecurity buying mistakes
The most frequent mistake is treating mxdr as a drop-in alerting layer instead of a managed detection engineering and investigation operating model. Providers consistently tie detection confidence to telemetry completeness and parsing quality, so missing onboarding work directly impacts detection outcomes.
Another common mistake is ignoring governance needs for automation and detection changes, which increases the risk of tuning drift or risky response actions.
Buying mxdr without planning for telemetry completeness across endpoint and identity
Red Canary detection quality drops when endpoint and identity telemetry is incomplete, so log onboarding gaps reduce signal quality and investigation effectiveness. Arctic Wolf similarly ties detection confidence to telemetry onboarding quality, so missing sources weaken managed detection outcomes.
Allowing detection tuning and automation without governance controls
CrowdStrike requires governance to prevent risky actions during automation and response tuning, so approvals and guardrails must be defined. Deepwatch also has shared responsibility, so governance discipline on detection changes is necessary to avoid drift.
Expecting consistent incident handoffs without a structured evidence workflow
Cisco uses evidence packages and structured escalation to keep investigation handoffs consistent during managed response. Without that operational shape, analysts can spend more time rebuilding evidence instead of executing the response workflow.
Underestimating how telemetry normalization and device or identity mappings affect correlation
Cisco correlation quality depends on consistent log onboarding and event normalization, so inconsistent ingestion breaks cross-source correlation guidance. Palo Alto Networks depends on stable device and identity mappings, so forwarding and parsing discipline becomes a determining factor.
How We Selected and Ranked These Providers
We evaluated managed detection and response providers using features, ease, and value scoring. Features accounted for 40% of the evaluation because detection engineering workflow quality and investigation execution matter for mean time to detect and mean time to respond outcomes.
Ease and value each accounted for 30% because onboarding friction and operational overhead affect whether SOC teams can sustain tuning results. Red Canary set the pace by combining analyst-led threat hunting that feeds back into detection logic with measurable tuning outcomes, which distinguished it from providers that focus more on workflow correlation or incident execution alone.
Frequently Asked Questions About Mxdr Cybersecurity
How do Secureworks, Unit 42, and other mxdr providers handle alert triage without flooding analysts with noise?
Which providers integrate with existing security tooling through API or workflow automation?
How does Microsoft Defender XDR compare with Palo Alto Networks managed detection and response for evidence timelines across telemetry sources?
When migrations disrupt log ingestion, what breaks first in mxdr operations?
What data migration tasks matter most when switching MxDR providers for endpoint, identity, and cloud telemetry?
How do Secureworks, IBM Security, and others handle admin control and change governance for detection content?
Where does MXDR fall short for enterprises that need strict control over detection engineering changes?
Which providers are best for threat hunting that turns findings into refined detections rather than one-off investigations?
How should enterprises prepare onboarding so SOC workflows stay measurable after handoff?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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