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AI In IndustryTop 10 Best Next Generation Managed Services of 2026
Top 10 next generation managed providers ranked for enterprise needs, with comparisons and tradeoffs to help IT teams shortlist options like Accenture.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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Accenture is the best pick when large enterprises want co-managed security operations with detection engineering and repeatable automation runbooks, whereas Capgemini is the better alternative for security teams that need engineering-led runbooks plus stronger change control under managed governance.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Accenture
Runbook-driven automation that links detection findings to evidence collection and governed containment workflow steps.
Best for: Fits when large enterprises need co-managed security operations with detection engineering and automation runbooks.
Capgemini
Editor pickEvidence-led incident workflow that pairs investigation steps with escalation handoffs and post-incident reporting artifacts.
Best for: Fits when enterprise security teams need co-managed operations with engineering-led runbooks and change control.
Tata Consultancy Services
Editor pickOperating model engineering that standardizes end-to-end case handling from triage through evidence and escalation.
Best for: Fits when large enterprises need managed security operations with strong integration and repeatable governance.
Comparison Table
Accenture
enterprise_vendorGlobal professional services leader providing next-generation managed services and operations.
Runbook-driven automation that links detection findings to evidence collection and governed containment workflow steps.
Accenture brings managed security operations execution plus build-and-run engineering for detection engineering work such as tuning analytics, mapping findings to standard techniques, and operationalizing new detections into day-to-day monitoring. The engagement model generally supports endpoint and network telemetry intake into a centralized monitoring workflow, then routes alerts through escalation workflow steps with evidence collection and case context. Automation coverage is strongest when the client defines repeatable containment actions and approvals that can be encoded into runbooks for security operations centers.
A tradeoff is that consistent throughput depends on up-front alignment on telemetry normalization, detection engineering backlogs, and change control for detections and playbooks. Accenture fits best when a security program needs co-managed security operations and hands-on engineering for higher-signal detections rather than only monitoring dashboards.
- +Delivery teams run detection engineering changes under defined governance
- +Automation playbooks reduce manual steps in alert triage and escalation
- +Case context and evidence collection support faster incident review
- +Integration work connects identity, endpoint, and cloud signals to one workflow
- –Requires disciplined intake planning for telemetry normalization and routing
- –Automation coverage depends on agreed containment actions and approvals
- –Change windows can slow detection iteration during high-churn environments
- –Co-managed setups add overhead for stakeholder alignment
Security operations leaders
Reduce MTTR across escalations
Fewer handoffs, faster closures
Cloud security teams
Harden workload monitoring
Higher-signal cloud alerts
Show 2 more scenarios
Identity security teams
Catch identity misuse patterns
More reliable incident triage
Identity detections are tuned and integrated into monitoring so cases include attribution context.
GRC and security governance
Improve audit-ready operations
Cleaner control evidence
Governed change control supports traceability from detection logic updates to operational playbook versions.
Best for: Fits when large enterprises need co-managed security operations with detection engineering and automation runbooks.
Capgemini
enterprise_vendorMultinational IT services and consulting firm delivering next-generation managed services.
Evidence-led incident workflow that pairs investigation steps with escalation handoffs and post-incident reporting artifacts.
Capgemini’s managed services emphasis centers on engineering-to-operations execution, where detection logic, response playbooks, and operational reporting are treated as a single lifecycle. The service commonly connects heterogeneous telemetry sources into a normalized monitoring workflow and assigns concrete ownership for investigation steps. This approach suits teams that track performance using mean time to detect and mean time to respond metrics and want those signals fed back into detection engineering cycles.
A tradeoff appears in the level of coordination required for environment access, integration work, and change control around response actions. Capgemini is a strong fit when an enterprise already has log and telemetry pipelines in place and needs a managed layer that can operationalize them into consistent investigation and containment steps. It is less suited when an organization needs fully plug-and-play coverage without any governance or integration participation.
- +SOC runbooks tied to measurable detection and response performance targets
- +Engineering-led incident workflow with clear evidence collection and escalation steps
- +Automation-focused triage to reduce manual analysis volume during high alert rates
- +Integration delivery supports consistent monitoring across cloud, identity, and network
- –Requires disciplined integration ownership and controlled change management
- –Advanced response actions depend on tooling access and pre-agreed containment procedures
- –Time to value increases when telemetry is inconsistent or incomplete
Security operations teams
Co-managed SOC with triage automation
Lower mean time to respond
Cloud security owners
Managed monitoring for cloud workloads
Faster incident detection
Show 2 more scenarios
Identity threat responders
Managed detections for identity misuse
Quicker containment decisions
Operationalizes investigation playbooks for account compromise signals and containment actions.
CISO office
Operational governance for security changes
Stronger governance over operations
Maintains audit-ready operational reporting tied to escalation workflows and evidence handling.
Best for: Fits when enterprise security teams need co-managed operations with engineering-led runbooks and change control.
Tata Consultancy Services
enterprise_vendorIndia-based IT services giant offering next-generation managed services for enterprise IT.
Operating model engineering that standardizes end-to-end case handling from triage through evidence and escalation.
Tata Consultancy Services runs managed engagements that combine security monitoring, incident operations support, and operational automation across distributed estates. It can coordinate detection engineering work with operational teams by standardizing case workflows, evidence handling steps, and escalation paths. Integration depth tends to be stronger when TCS can align on the target telemetry sources, data normalization approach, and handoffs into operations tooling.
A key tradeoff is that governance and operating discipline are often required to keep detection content, automation actions, and escalation thresholds consistent across multiple business units. Managed use works best when there is an agreed set of workflows for alert triage, containment actions, and post-incident evidence collection. Organizations that need frequent onboarding of new log sources or frequent tuning of detection logic typically benefit from TCS when they can provide domain context and test telemetry.
- +Enterprise run model supports repeatable security operations across large portfolios
- +Automation and scripting help standardize incident workflows and evidence collection steps
- +Integration work reduces friction between security telemetry and operations tooling
- +Governance artifacts improve auditability of operational decision trails
- –Cross-team alignment is required to keep detection tuning and automation safe
- –Automation outcomes depend on upstream telemetry quality and tagging consistency
- –Some workflows take longer to stabilize across business unit boundaries
- –Evidence collection rigor increases process overhead for smaller operations teams
Global security operations teams
Co-managed detection triage and escalation
Lower mean time to respond
Cloud platform operations leaders
Managed monitoring with telemetry normalization
Fewer false positives
Show 2 more scenarios
Identity and access risk owners
Incident workflows tied to identity events
Faster containment decisions
Security operations processes connect identity signals to investigation steps and ticketing handoffs.
Security engineering teams
Detection engineering in controlled automation
More consistent detection quality
TCS supports controlled rollout of detection changes with operational feedback loops and evidence capture steps.
Best for: Fits when large enterprises need managed security operations with strong integration and repeatable governance.
Cognizant
enterprise_vendorProfessional services firm offering next-generation managed services with AI-led operations.
Coordinated delivery that pairs SOC alert triage with ongoing detection engineering updates and workflow wiring.
Cognizant is a managed services provider that delivers security operations and engineering work through enterprise IT service delivery. Its distinction in this category is the combination of SOC-style monitoring with build-and-run delivery for security detections, integrations, and incident workflows.
- +SOC operations plus detection engineering in one delivery motion
- +Integration work spans common monitoring and security tooling
- +Runbook-based incident workflows reduce analyst thrash
- +Delivery artifacts support consistent handoffs across teams
- –Automation depth depends on the client’s tooling and data pipelines
- –Change requests can introduce lead time for new detections
- –Governance requires clear ownership across incident and engineering lanes
- –Documentation quality varies by engagement scope and legacy systems
Best for: Fits when enterprise teams need co-managed security operations plus managed detection engineering throughput.
IBM
enterprise_vendorTechnology and consulting company providing AI-powered next-generation managed services.
Managed service delivery orchestration that connects change-controlled operations with security engineering workflows.
IBM delivers next-generation managed services by running client environments end to end, from infrastructure operations through application and security operations. Delivery is built around IBM Consulting and IBM Services capabilities that include automation for provisioning workflows, managed runbooks, and enterprise integration with existing platforms.
- +Enterprise-wide integration across infrastructure, apps, and managed security workflows
- +Automation-led provisioning with change control and operational runbook execution
- +Delivery governance that supports RBAC and audit-ready service operations processes
- +Extensibility through consultative engineering for site-specific detection and operations
- –Requires strong internal coordination to align delivery engineering with operations ownership
- –Easier to maintain at scale, slower for small teams with minimal process maturity
- –Some workflows depend on selecting and integrating the right IBM service components
- –Operational reporting depth can require extra configuration to match internal KPIs
Best for: Fits when enterprise teams need managed operations tightly integrated with security, engineering, and governance.
Kyndryl
enterprise_vendorManaged infrastructure services provider spun off from IBM with next-generation operations focus.
Runbook-driven incident and change execution across towers using integration points to keep monitoring-to-remediation workflows consistent.
Kyndryl is a large managed services provider that distinguishes itself through enterprise-scale delivery of infrastructure operations, security services, and platform integration across hybrid environments. Its managed service offering typically combines operational governance with hands-on engineering support, including incident workflows, change execution, and service orchestration that depend on documented runbooks. Kyndryl also supports integration-centric delivery through APIs and automation hooks used to connect monitoring, ticketing, and remediation tooling to existing enterprise systems.
- +Enterprise-grade operational governance across hybrid IT estates and service towers
- +Engineering-led security operations with workflow-driven incident handling and escalation
- +Integration focus that connects monitoring, ticketing, and remediation systems
- +Coordinated change and runbook execution reduces drift during managed operations
- –Security outcomes depend on customer telemetry readiness and consistent log collection
- –Automation depth varies by workload type and may require dedicated integration work
- –Service governance can feel heavyweight for small, change-averse teams
- –Extensibility requires alignment on integration standards and shared operating models
Best for: Fits when large enterprises need governed managed operations and security workflows tied to existing tooling.
DXC Technology
enterprise_vendorGlobal IT services company delivering next-generation managed services for enterprises.
Coordinated managed operations across ITSM, infrastructure, and security response workflows to reduce cross-team friction.
DXC Technology delivers next-generation managed services through enterprise IT operations, security operations delivery, and systems integration under one provider model. Its differentiation comes from combining infrastructure and application managed services with managed security engagements that fit large-scale enterprise governance and change control.
- +Enterprise-scale delivery model with governance-ready change control for managed services
- +Integration coverage across infrastructure and application operations reduces handoff gaps
- +Incident execution process supports escalation workflows tied to business ownership
- +Experience aligning monitoring and response to existing service management and ITSM patterns
- –Security automation depth can lag specialist MDR providers without joint use-case engineering
- –Provisioning timelines can stretch when environments require broad platform consolidation
- –API and extensibility details are less visible than for pure-platform security vendors
- –Operational ownership boundaries can require clear RACI to avoid duplicated workflows
Best for: Fits when large enterprises need managed security plus tightly coupled infrastructure and service management operations.
Atos
enterprise_vendorEuropean digital services firm providing next-generation managed services and Digital Workplace offerings.
Managed delivery model that ties security incident handling steps to enterprise operations runbooks and escalation workflows.
Atos is a large-scale managed services provider that focuses on running enterprise IT operations and security services under client governance. Its next-generation managed services delivery emphasizes integration into existing monitoring stacks through defined operational workflows and runbooks, rather than standalone dashboards.
- +Enterprise-grade change-control fit for ongoing managed operations and security workflows
- +Operational runbooks that translate detections into consistent triage and escalation steps
- +Integration orientation for connecting managed security outputs into existing client tools
- +Delivery scale suitable for multi-domain estates across data center, cloud, and endpoints
- –Automation depth depends on integration choices and governance alignment
- –Security customization can require detection engineering effort for unique environments
- –Governance and RBAC patterns may need tuning to match internal operating models
- –Reporting granularity can lag when clients expect schema-level telemetry normalization
Best for: Fits when enterprise IT and security operations need co-managed workflows under tight governance.
NTT Data
enterprise_vendorGlobal IT services provider delivering next-generation managed services across infrastructure and applications.
Runbook-driven incident workflow integration that connects alert intake to escalation and containment actions across multiple operational systems.
NTT Data delivers managed next generation services that cover infrastructure, applications, and security operations under one delivery motion. Its core strength is integration depth across operations workflows, with automation hooks for incident handling, alert processing, and service governance.
- +Unified delivery motion across IT operations and security workflows
- +Integration focus for tying monitoring outputs into incident execution
- +Governance controls to support RBAC and audit trail needs
- +Extensibility for automation around triage and escalation steps
- –Onboarding depends on disciplined log and telemetry readiness
- –Automation scope can lag behind more specialized security-only providers
- –Change management overhead increases when workflows span many systems
- –Depth varies across client environments that require custom integration
Best for: Fits when enterprises need managed security operations integrated with broader IT operations and governance controls.
Unisys
enterprise_vendorIT services company offering next-generation managed services for cloud and workplace environments.
Runbook-based incident workflow orchestration that ties detection outputs to structured escalation, containment coordination, and evidence capture.
Unisys targets enterprises that need managed services tightly integrated with existing IT and security operations, not bolt-on tooling. It offers managed security operations support paired with automation for incident workflow handling, escalation, and response coordination.
- +Incident workflow execution supported by automation-driven escalation steps
- +Security operations practices designed for evidence collection and audit-friendly handling
- +Co-managed operations patterns support threat-led monitoring with defined handoffs
- +Integration focus fits environments with established tooling and operating procedures
- –Requires governance discipline to keep automation rules aligned to runbooks
- –Automation scope can be constrained by required data access and telemetry coverage
- –Admin control depth favors enterprises with security operations roles and ownership
- –Use-case engineering effort may be needed to reach stable detection coverage
Best for: Fits when large enterprises need co-managed security operations with structured escalation and evidence handling.
Conclusion
After evaluating 10 next generation managed, Accenture 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 Next Generation Managed
Next generation managed providers in this guide are evaluated on co-managed security operations design, runbook governance, and the way delivery teams connect detection findings to evidence collection and escalation workflows. The coverage spans Accenture, Deloitte, IBM Consulting, Capgemini, and TCS along with Cognizant, Kyndryl, DXC Technology, Atos, NTT Data, and Unisys.
The category emphasis favors integration depth and an automation surface that can be governed through change control across security and operational towers. Accenture ranks first with runbook-driven automation that links detection outcomes to evidence collection and governed containment workflow steps.
Next Generation Managed: governed security operations with automation, integration, and runbook evidence
Next generation managed describes a managed service delivery motion where detection engineering changes flow into SOC operations through governed runbooks that carry evidence collection and escalation steps. Accenture and Capgemini both center this linkage, with Accenture focusing on runbook-driven automation that reduces manual alert triage steps and Capgemini pairing investigation steps with escalation handoffs and post-incident reporting artifacts.
The differentiator is not the presence of incident handling, because every provider in this set runs structured escalation workflows at some level. The difference shows up in how strongly the service binds detection engineering, automation playbooks, and governance controls to operational execution across incident lifecycle stages like triage, investigation, containment, and evidence capture.
Core capabilities that differentiate Next Generation Managed execution
Next generation managed programs succeed when detection engineering changes flow into SOC execution through governed runbooks that carry evidence collection and escalation steps. Accenture and Capgemini both center this binding, with Accenture focusing on automation that reduces manual alert triage steps and Capgemini pairing investigation steps with escalation handoffs and post-incident reporting artifacts.
Differentiation shows up in how delivery teams control change, how workflow wiring connects telemetry intake to incident lifecycle actions, and how quickly engineering can update detections without breaking operational governance. TCS adds operating model engineering that standardizes end-to-end case handling, while Kyndryl and NTT Data extend the same workflow discipline across broader hybrid estates and IT operations.
Runbook-driven automation that connects detection outcomes to governed containment
Accenture runs runbook-driven automation that links detection findings to evidence collection and governed containment workflow steps. Unisys also ties detection outputs to structured escalation, containment coordination, and evidence capture, with a stronger emphasis on structured evidence handling constraints.
Evidence-led incident workflows with escalation handoffs and reporting artifacts
Capgemini pairs investigation steps with escalation handoffs and post-incident reporting artifacts. Kyndryl supports runbook-driven incident and change execution across towers while keeping escalation and workflow-driven handling aligned to existing tooling.
Operating model engineering that standardizes case handling across portfolios
Tata Consultancy Services standardizes end-to-end case handling from triage through evidence and escalation using enterprise run model engineering. IBM connects change-controlled operations with security engineering workflows and uses automation-led provisioning under change control, which supports enterprise standardization at a governance level.
Integrated delivery motion across IT operations and security response workflows
DXC Technology coordinates managed operations across ITSM, infrastructure, and security response workflows to reduce cross-team friction and handoff gaps. NTT Data integrates runbook-driven incident workflow steps by connecting alert intake to escalation and containment actions across multiple operational systems.
Decision framework for selecting a Next Generation Managed delivery model
A strong selection starts with the governance shape for detection changes. Accenture and Capgemini both connect detection findings to operational steps, but Accenture reduces manual triage through automation playbooks and Capgemini emphasizes evidence-led incident workflow and engineering-led change control.
The second decision is where integration work must land inside the delivery motion. Cognizant and DXC Technology place security operations and detection engineering together with SOC alert triage and detection updates, while Kyndryl and Unisys focus on runbook execution consistency across towers and on structured escalation and evidence capture constraints.
Map detection change requests to the governance workflow style
If detection tuning must convert into automated containment steps under defined approvals, Accenture is engineered around runbook-driven automation that links findings to evidence collection and governed containment workflow steps. If the priority is evidence-led incident processing with clear escalation handoffs and reporting artifacts under engineering-led incident workflow control, Capgemini aligns more closely to the workflow governance expectation.
Decide whether the operating model should standardize runbooks across portfolios
If standardization across large portfolios is the primary goal, TCS delivers operating model engineering that standardizes end-to-end case handling from triage through evidence and escalation. If standardization must include cross-enterprise integration across infrastructure, apps, and managed security workflows with automation-led provisioning under change control, IBM’s managed service delivery orchestration targets that governance-driven integration span.
Choose the integration landing zone between SOC, ITSM, and infrastructure operations
If service management alignment is required to keep incident response actions coordinated with infrastructure operations, DXC Technology brings governance-ready change control across managed services and integration coverage spanning infrastructure and application operations. If incident workflow integration must connect broader IT operations systems to security escalation and containment steps, NTT Data unifies delivery motion across IT operations and security workflows with runbook-driven incident workflow integration.
Select the delivery coupling level for SOC operations plus detection engineering updates
If the target is co-managed security operations with managed detection engineering throughput and coordinated delivery that pairs SOC alert triage with ongoing detection engineering updates, Cognizant’s SOC plus detection engineering delivery motion fits the workflow wiring expectation. If the target is engineered consistency across hybrid estates and service towers through runbook-driven incident and change execution, Kyndryl keeps security outcomes aligned to enterprise-grade operational governance and tower-based workflow execution.
Stress-test automation depth against telemetry readiness and access constraints
If log and telemetry readiness is disciplined and tagging consistency is available, providers such as TCS and Cognizant can standardize incident workflows and evidence collection steps tied to detection tuning. If telemetry readiness and access to required data sources are uncertain, Kyndryl and Unisys both tie automation outcomes to telemetry coverage and governed data access, which can limit response automation scope when integration work is incomplete.
Who should consider these Next Generation Managed providers
These providers fit organizations that need detection engineering changes to reach SOC execution through governed runbooks that carry evidence collection and escalation steps. The fit is strongest when security operations must coordinate with operational towers and when change control is required to keep automated actions safe.
The list is also strongest for enterprises that need repeatable workflow execution across multiple incident lifecycle stages rather than only monitoring and alerting. Accenture, Capgemini, and IBM prioritize runbook governance linkage, while DXC Technology and NTT Data prioritize integration across ITSM and operational systems.
Large enterprises running co-managed security operations with a governance-driven change model
Accenture and Capgemini both build detection-to-execution linkage through governed workflow steps, and they explicitly depend on defined approvals and escalation handoffs for safe automation and containment.
Security engineering teams standardizing incident handling across many business units
TCS delivers operating model engineering that standardizes case handling from triage through evidence and escalation, while Kyndryl adds runbook-driven execution across towers to keep workflow behavior consistent.
IT operations organizations that require security incident execution aligned with ITSM and infrastructure operations
DXC Technology coordinates managed operations across ITSM, infrastructure, and security response workflows, and NTT Data connects alert intake to escalation and containment across multiple operational systems.
Organizations that want SOC alert triage connected to ongoing detection engineering updates
Cognizant explicitly pairs SOC operations with detection engineering updates and wires alert triage workflows into delivery motion, which targets throughput for new detections.
Enterprises that need structured evidence capture and escalation workflows under automation constraints
Unisys supports runbook-based orchestration for escalation, containment coordination, and evidence capture, and it requires governance discipline to keep automation rules aligned to runbooks.
Common pitfalls when buying Next Generation Managed services
A frequent mistake is assuming that runbooks and automation exist without committing to the operational inputs that make them safe. Accenture’s automation coverage depends on agreed containment actions and approvals, and Unisys requires governance discipline to keep automation rules aligned to runbooks.
Another mistake is treating integration as a one-time onboarding task rather than a delivery motion that keeps detection tuning, telemetry routing, and workflow wiring aligned. Cognizant and DXC Technology both show delivery outcomes can slow when change requests land without agreed workflow wiring and access paths across systems.
Selecting a provider for incident handling while underestimating the governance requirements for automated containment steps
Accenture’s automation runbooks depend on agreed containment actions and approvals, so governance discipline determines how much automation can safely execute during triage and containment.
Delaying integration ownership until after onboarding when detection engineering updates must keep flowing into SOC execution
Capgemini’s evidence-led workflow requires controlled change management and integration ownership, and lead time increases when change routing and tooling access are unclear.
Ignoring telemetry normalization and routing discipline that determines whether automation can execute reliably
Accenture flags disciplined intake planning for telemetry normalization and routing as a dependency, and Kyndryl and Cognizant both tie automation depth to telemetry readiness and consistent log collection.
Under-scoping the operational system access needed for escalation, evidence capture, and workflow wiring
Unisys limits automation scope when required data access and telemetry coverage are constrained, and IBM’s orchestration depends on coordination between delivery engineering and operations ownership.
How We Selected and Ranked These Providers
We evaluated Accenture, Capgemini, TCS, Cognizant, IBM, Kyndryl, DXC Technology, Atos, NTT Data, and Unisys on features, ease of operating the delivery motion, and value for enterprise buyers. Features accounted for 40% of the score, and ease accounted for 30% while value accounted for another 30% using the category’s co-managed security operations linkage between detection engineering and runbook execution.
Accenture separated itself by combining runbook-driven automation with governed containment workflow steps and evidence collection linkage, which directly reduces manual alert triage steps while keeping approvals and containment actions controlled. The ranking also reflected how strongly each provider ties managed operations execution to workflow wiring across incident lifecycle stages like triage, investigation, containment, and evidence capture.
Frequently Asked Questions About Next Generation Managed
How do Accenture, Capgemini, and Kyndryl handle telemetry normalization before detections run?
What integration and API coverage differences show up for managed security operations across these providers?
How do these providers support SSO and access control for co-managed operations and delivery governance?
How does data migration work when switching an organization from internal monitoring to next generation managed operations?
When does detection engineering stay with the provider versus stay with the client, and how is the boundary enforced?
What admin controls and runbook governance mechanisms differ across IBM, Atos, and DXC Technology?
What breaks if telemetry sources are onboarded without matching schema and mapping expectations for investigation workflows?
Which providers are most suited for co-managed SOC alert triage with engineering updates to detections?
How does extensibility work for adding new detection logic, playbooks, or automation steps to an existing managed workflow?
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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