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Cybersecurity Information SecurityTop 10 Best Cloud Based Security Services of 2026
Rank the top 10 cloud based security providers using security-focused criteria, with editorial picks and tradeoffs for buyers at teams.
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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Deepwatch is the best fit for teams that need managed detection and engineered cloud incident throughput, while Optiv Security works best when you’re an enterprise and want managed cloud security operations plus integration and remediation help.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Deepwatch
Incident-focused orchestration that converts customer telemetry into repeatable investigation and action workflows.
Built for fits when managed detection and engineered integrations are needed for incident throughput..
Schellman
Editor pickEngagement reports package security findings into audit-ready evidence and remediation roadmaps.
Built for fits when cloud governance needs documented security evidence and remediation planning..
Optiv Security
Editor pickIncident response execution backed by operational playbooks and analyst-driven triage workflows.
Built for fits when enterprises need managed cloud security operations and integration help for ongoing remediation..
Comparison Table
Deepwatch
specialistManaged detection and response provider focused on cloud security operations and 24/7 SOC services.
Incident-focused orchestration that converts customer telemetry into repeatable investigation and action workflows.
Deepwatch operates a service-led model where security events are triaged, investigated, and mapped to actions inside customer environments. The service includes engineering work to connect cloud and application telemetry to monitoring and response workflows, which supports automated handling for recurring alert patterns. Governance controls are implemented through role separation for operations access and through audit-ready investigation outputs that support internal and external reviews.
A tradeoff exists when teams expect full product self-serve configuration without service engagement, because Deepwatch delivery relies on onboarding and integration work. Deepwatch fits teams that already operate monitoring and want higher-throughput incident handling with tighter integration to cloud workloads, identities, and application context.
- +Service-led investigations turn alerts into documented response actions
- +Integration engineering connects cloud and application telemetry to workflows
- +Operational runbooks reduce time spent on repeat incident patterns
- +Governance-oriented access separation supports safer security operations
- –Less suited for teams that want purely self-serve configuration
- –Onboarding and integration effort is required for full workflow coverage
Security operations teams
Handle spikes in cloud security alerts
Reduced investigation turnaround time
Cloud security engineering
Integrate workload telemetry into response
Faster, more contextual triage
Show 2 more scenarios
Compliance and risk teams
Produce audit-ready incident records
Clearer evidence trails
Deepwatch structures investigation outputs for governance review and internal reporting needs.
Identity and access owners
Investigate suspicious access patterns
More accurate access incident outcomes
Deepwatch ties investigation work to identity and access context present in customer signals.
Best for: Fits when managed detection and engineered integrations are needed for incident throughput.
Schellman
specialistCompliance and assessment firm providing cloud security audits for SOC 2, ISO 27001, and FedRAMP certifications.
Engagement reports package security findings into audit-ready evidence and remediation roadmaps.
Schellman’s work is built around assessment delivery, evidence packaging, and remediation planning that can be consumed by audit, security leadership, and engineering stakeholders. The engagement model is most coherent for organizations that need external validation of configurations, processes, and control effectiveness in addition to internal scans. This positioning reduces reliance on a single toolchain decision by separating assessment outputs from the client’s existing platforms and operational processes.
A tradeoff appears in automation depth and integration breadth, since the value comes from assessment deliverables rather than a large native API surface. Schellman fits situations where incident response playbooks, policy documentation, and stakeholder-ready reports matter more than continuous posture telemetry. A typical usage situation is a cloud transformation where security leadership needs defensible evidence for governance sign-off.
- +Assessment deliverables convert technical findings into governance-ready evidence
- +Remediation guidance aligns control gaps with actionable next steps
- +Engagement structure supports cross-team decision making and sign-offs
- +Works alongside existing internal tooling and security operations
- –Automation and API extensibility are not the primary delivery mechanism
- –Coverage depends on engagement scope rather than continuous platform monitoring
- –Platform-native workflows may require additional internal process integration
Security governance leaders
Audit support for cloud controls
Faster control sign-off
Risk and compliance teams
Cloud assessment tied to policies
Clear remediation ownership
Show 2 more scenarios
Cloud platform engineering
Security findings during migration
Reduced migration security drift
Turns assessment results into prioritized changes teams can implement and verify.
Incident readiness owners
Playbook and process hardening
More consistent response procedures
Incorporates process and control review outputs into response readiness work.
Best for: Fits when cloud governance needs documented security evidence and remediation planning.
Optiv Security
enterprise_vendorPure-play cybersecurity solutions provider offering cloud security consulting, managed services, and technology integration.
Incident response execution backed by operational playbooks and analyst-driven triage workflows.
Optiv Security is geared for organizations that need security operations to function like a managed capability, not only an alert dashboard. Service teams typically work through onboarding, detection tuning, and incident playbook alignment so events map to triage and remediation steps. Optiv also focuses on integration breadth across security tooling so cloud and identity signals can feed response workflows.
A clear tradeoff is that outcomes depend on the client’s configuration of data sources and the availability of supporting teams for remediation. Optiv fits best when security leadership wants faster operational readiness for new cloud programs, such as consolidating detection sources and standardizing response handling.
- +Managed operations includes detection tuning and incident playbook alignment
- +Integration support links cloud telemetry to investigative context
- +Governance-minded delivery helps standardize controls across cloud programs
- +Human-led response processes reduce gaps during high-severity events
- –Operational readiness depends on client data-source availability and access
- –Customization and tuning require ongoing coordination with security teams
- –Tooling coverage can feel uneven across niche cloud product lines
- –Governance workflows may slow changes during control reviews
Security operations leaders
Triage and response for cloud alerts
Faster containment and closure
Cloud security program teams
Onboarding new cloud workloads
Lower early alert noise
Show 2 more scenarios
Identity and access governance
Hardening access for cloud accounts
Reduced risky access paths
Standardizes control expectations across identity and privileged workflows for cloud use.
Risk and compliance owners
Evidence-backed control operation
More defensible audit narratives
Supports reporting by connecting investigation outcomes to ongoing remediation activities.
Best for: Fits when enterprises need managed cloud security operations and integration help for ongoing remediation.
Critical Start
specialistManaged detection and response provider specializing in cloud security operations and threat mitigation.
Remediation workflow outputs that translate security findings into operationally actionable work items tied to evidence artifacts.
Critical Start delivers cloud security services built around security lifecycle workflows, not just point tooling. Core capabilities focus on cloud environment discovery, configuration evidence collection, and policy-driven risk reduction with documented remediation guidance.
The service model is paired with integration work for customer environments, including access and log data needed to support ongoing security monitoring. Governance hinges on repeatable assessments and actionable outputs that map security findings to operational work items.
- +Workflow-based assessments convert findings into remediation-ready actions
- +Integration support covers the access and log inputs security checks require
- +Governance reporting keeps audit evidence tied to specific security controls
- +Clear prioritization helps teams route issues to the right owners
- –Requires a governance and review process to keep remediation from stalling
- –Automation depth depends heavily on how environment access is provisioned
- –Deep cloud coverage breadth may lag specialized tools in narrow domains
- –Admin overhead rises when multiple cloud accounts and log sources are involved
Best for: Fits when security teams need managed cloud assessments with evidence-linked governance and remediation workflows.
NetSPI
specialistEnterprise penetration testing firm delivering cloud security assessments, application testing, and attack surface management.
Exploit validation workflows that turn cloud misconfiguration findings into confirmation of real attackability.
NetSPI delivers cloud-focused security testing and continuous attack simulation that produces exploit-style findings tied to real exposure paths. The service emphasizes internet-facing and cloud attack surface assessment, including validation of misconfiguration risk rather than only policy coverage.
Teams receive actionable results that can drive remediation backlogs and retest workflows across cloud environments. Governance outcomes come from documented evidence and repeatable testing steps that support ongoing risk management.
- +Attack simulations validate whether exposed cloud paths are actually exploitable
- +Evidence-focused reporting supports remediation ownership and retesting cycles
- +Testing coverage targets internet-facing and cloud misconfiguration exposure paths
- +Repeatable test planning helps standardize assessments across environments
- –Requires setup work for accurate scope definition and reliable retest coverage
- –Does not replace continuous control monitoring like SIEM-driven detections
- –Automation depth depends on how workflows are integrated into internal tooling
- –Less suitable for teams needing policy-only coverage without exploit validation
Best for: Fits when cloud teams need repeatable exploit-style validation for exposure and remediation proof.
Arctic Wolf
enterprise_vendorManaged security services provider delivering cloud-native security operations through concierge MDR and managed risk offerings.
Analyst-led response workflows that turn detections into coordinated containment and remediation actions tied to configured playbooks.
Arctic Wolf focuses on managed cloud security with incident response workflows tied to monitored telemetry from cloud and endpoint sources. Its core value comes from detection-to-response execution, including security operations playbooks, analyst engagement, and engineering support for tuning and remediation guidance.
The service also supports integration with common cloud and identity environments so alerts and findings can be prioritized with business-relevant context. Governance, auditability, and policy alignment are handled through centralized administration and reporting across connected systems.
- +Managed incident response playbooks with analyst involvement for faster containment actions
- +Works across cloud and identity signals for consolidated security operations workflows
- +Integration projects often include tuning steps to reduce alert noise and improve prioritization
- +Centralized reporting supports security operations review and evidence collection
- –Requires disciplined onboarding to map environments and get useful detections quickly
- –Deep automation and API-driven extensions are limited versus platforms built primarily for self-serve orchestration
- –Some controls depend on connected data sources being onboarded and kept current
- –Configuration effort can rise when many cloud accounts and identities must be normalized
Best for: Fits when security teams want managed cloud detection and response execution with governance and reporting across multiple environments.
Deloitte
enterprise_vendorGlobal professional services firm offering cloud security strategy, implementation, and managed security services.
Controls-to-evidence operating model design that structures audit workflows around security governance deliverables.
Deloitte brings a security-services delivery model to cloud security execution, pairing technical controls with governance and consulting-led implementation. Its core capabilities center on cloud risk assessment, security architecture support, and managed program design across cloud and identity environments.
Deloitte also supports tooling selection and policy mapping to compliance evidence using audit-ready operating models. For teams that need security programs run with defined controls, escalation paths, and stakeholder reporting, Deloitte fits work that goes beyond ticket-based support.
- +Governance-first delivery that ties controls to documented operating processes
- +Integration support across cloud, identity, and compliance evidence workflows
- +Strong design work for security architecture and control ownership models
- +Program-level reporting structures for executive and audit stakeholder needs
- –Limited hands-on engineering depth compared with product-native cloud security suites
- –Automation and API breadth depend on engagement scope and selected toolchain
- –Requires disciplined change management to keep policies and access aligned
- –Coverage depth can vary by region, staffing, and partner ecosystem
Best for: Fits when enterprises need security governance and implementation orchestration around an existing toolchain.
IBM Security
enterprise_vendorEnterprise security services provider offering cloud security consulting, managed security services, and threat intelligence.
IBM security orchestration workflows that tie cloud telemetry into guided incident actions for consistent cross-team response.
IBM Security brings enterprise security operations and governance into cloud security programs through tightly connected analytics, policy, and integration patterns. The offering is built around IBM’s security telemetry and automation workflows, which helps teams route events into playbooks and enforcement actions across cloud environments.
IBM Security is particularly distinct for how it fits into large organizations that already run IBM Security products and need consistent admin, audit, and reporting. Core capabilities include cloud threat monitoring, security governance workflows, and integration surfaces that support connector-based and API-driven operations.
- +Strong integration depth with IBM Security event and response workflows
- +Good governance patterns for access control and audit logging in enterprise estates
- +Automation options for incident handling using orchestration runbooks
- +Extensibility through connectors and API-first integration paths
- –Requires configuration discipline to align policies with cloud account structures
- –Cloud coverage depends on how integrations are deployed across assets
- –Operational maturity is needed to keep alerts and playbooks accurate
- –Some advanced workflows rely on add-on components to complete end-to-end coverage
Best for: Fits when enterprises want IBM-native automation and governance across cloud security operations and incident response.
GuidePoint Security
specialistCybersecurity consulting firm providing cloud security assessments, architecture reviews, and managed services.
Case-driven incident response with structured evidence and action tracking for cloud alert escalations.
GuidePoint Security delivers incident response and security monitoring capabilities focused on hands-on investigation, containment planning, and managed support for cloud environments. The service pairs ongoing detection with guided triage so security teams can translate alerts into documented actions across identity, workload, and cloud account surfaces.
Coverage centers on response workflows rather than only preventive controls, which fits organizations that already operate tooling and need escalation and execution. Integration and governance value come from how GuidePoint Security structures case intake, evidence handling, and coordination with internal owners.
- +Incident response workflows designed for investigation, containment, and stakeholder coordination
- +Clear case intake and evidence handling that reduces ambiguity during escalations
- +Managed support that accelerates alert triage into documented next actions
- +Security operations engagement model suited for teams that need execution support
- –Not positioned as a comprehensive preventive control suite across all cloud services
- –Requires disciplined change control to keep response actions aligned with existing governance
- –Depth depends on the scope agreed for monitored assets and response coverage
- –API automation surface is not the primary interface compared with case-driven operations
Best for: Fits when teams need managed incident response execution for cloud detections and fast stakeholder coordination.
BARR Advisory
specialistCloud security compliance consulting firm specializing in SOC 2, ISO 27001, and PCI DSS assessments for SaaS companies.
Control-to-implementation planning delivered as governance artifacts tied to cloud operating procedures.
BARR Advisory is a cloud security service provider built around advisory-led implementation rather than a self-serve console for continuous monitoring. The core offering centers on security architecture work, configuration guidance, and governance artifacts that map to real cloud operating models.
Teams typically engage it to standardize policy, reduce identity and access misconfigurations, and turn control requirements into implementation plans. Delivery quality depends on joint intake and onboarding because the service leans on professional services work.
- +Advisory delivery model fits teams needing guided cloud security design work
- +Governance artifacts translate security requirements into implementation tasks
- +Implementation support reduces gaps between target controls and actual cloud configuration
- +Service engagement supports change management for identity and access practices
- –Limited evidence of an always-on cloud telemetry or response product layer
- –Requires structured onboarding discipline to convert guidance into durable controls
- –Automation depth depends on engagement scope instead of a fixed API-driven workflow
- –Integration breadth across CSPs and security data sources is not positioned as a core strength
Best for: Fits when cloud security improvements need advisory implementation support plus governance artifacts.
Conclusion
After evaluating 10 cybersecurity information security, Deepwatch 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 cloud based security
Cloud based security services help organizations turn cloud telemetry and governance requirements into investigation, evidence, and remediation workflows across AWS, Microsoft cloud, and common enterprise toolchains. This buyer's guide covers Deepwatch, Schellman, Optiv Security, Critical Start, NetSPI, Arctic Wolf, Deloitte, IBM Security, GuidePoint Security, and BARR Advisory, with each provider evaluated on how well it produces repeatable security outcomes rather than one-off reports.
The comparison focuses on integration depth, automation pathways, and the practicality of getting actions executed inside existing operating models. Providers that convert findings into managed playbooks and tracked response work items are separated from those that mainly deliver engagement artifacts.
Cloud based security services that produce governed detection, evidence, and remediation workflows
Cloud based security covers managed assessment, incident response execution, and governance-to-action delivery for cloud environments, including how providers structure intake, evidence handling, and follow-through. Deepwatch emphasizes incident-focused orchestration that turns customer telemetry into repeatable investigation and action workflows.
Schellman centers on packaging security findings into audit-ready evidence and remediation roadmaps, which supports governance planning when continuous monitoring is not the primary delivery mechanism. Across the list, the deciding differences are how providers connect cloud and application telemetry to operational actions, how they formalize remediation work, and how much engineering effort is required to keep workflows aligned with real environment access and log coverage.
Governed workflow execution from cloud signals to evidence and remediation
Cloud based security services only reduce risk when detections and findings translate into repeatable investigation steps, evidence artifacts, and remediation work that maps to existing governance processes. This buyer guide groups providers by how they operationalize cloud telemetry and how they package outcomes for audit, incident response, and implementation tracking.
Incident orchestration that turns telemetry into repeatable actions
Deepwatch converts customer telemetry into repeatable investigation and action workflows, and it is positioned for incident throughput with service-led investigations. Arctic Wolf runs analyst-led response workflows that coordinate containment and remediation using configured playbooks across cloud and identity signals.
Evidence packaging and governance deliverables
Schellman packages security findings into audit-ready evidence and remediation roadmaps that fit governance planning when continuous monitoring is not the delivery mechanism. Deloitte structures controls-to-evidence operating model design so audit workflows follow security governance deliverables tied to documented operating processes.
Remediation work outputs linked to evidence artifacts
Critical Start produces remediation workflow outputs that become operational work items tied to evidence artifacts, which reduces the gap between finding and execution. NetSPI focuses on exploit validation workflows that generate confirmation of real attackability, which supports evidence-focused remediation ownership and retesting cycles.
Response execution plus playbook alignment for ongoing remediation
Optiv Security emphasizes managed incident response execution backed by operational playbooks and analyst-driven triage workflows for ongoing remediation support. GuidePoint Security runs case-driven incident response with structured evidence and action tracking for cloud alert escalations and stakeholder coordination.
Integration depth across a governed toolchain versus engagement scope
IBM Security ties cloud telemetry into IBM security orchestration workflows that guide incident actions with governance patterns for access control and audit logging. Schellman and BARR Advisory deliver governance artifacts, but their automation and API extensibility are not positioned as the primary delivery mechanism.
Choose cloud based security services by workflow path and operational control depth
A workable selection starts with the workflow path that must be accelerated, because incident throughput, audit evidence creation, and remediation execution require different operating mechanisms. The second step distinguishes services that mostly deliver engagement outputs from services that run managed workflows that stay aligned with environment access and log coverage.
Map the required workflow path to the provider’s delivery shape
If the primary goal is incident throughput that converts telemetry into investigation steps and action workflows, Deepwatch and Arctic Wolf match that workflow-first shape. If the goal is audit evidence and remediation roadmaps for governance planning, Schellman and Deloitte align with controls-to-evidence and evidence packaging deliverables.
Separate evidence generation from evidence-linked execution
If evidence must become remediation work items tied to artifacts, Critical Start turns findings into remediation-ready actions that stay anchored to evidence. If evidence must prove real attackability for retesting cycles, NetSPI’s exploit validation workflow targets exploitability confirmation rather than just finding reporting.
Test integration engineering needs against the expected setup and ongoing coordination
Teams expecting managed orchestration that spans cloud and application telemetry should validate integration engineering capacity, since Deepwatch highlights integration engineering connecting cloud and application telemetry to workflows. Teams that prefer fewer operational dependencies should account for IBM Security’s configuration discipline to align policies with cloud account structures and GuidePoint Security’s need for change control to keep response actions aligned.
Validate whether automation and extensibility are central or secondary
If extensibility and automation are central to the operating model, Deepwatch and IBM Security are positioned around orchestration workflows tied to incident actions. If engagement reports and governance artifacts are the main outcome, Schellman and BARR Advisory should be evaluated for scope coverage and onboarding discipline rather than continuous workflow automation depth.
Check how response execution depends on access to your data sources
Optiv Security and Arctic Wolf both tie useful outcomes to operational readiness, where Optiv Security depends on client data-source availability and access for detection tuning and playbook alignment. Arctic Wolf requires disciplined onboarding to map environments and get useful detections quickly for analyst-led containment and remediation.
Who should buy cloud based security services built for governed execution
Cloud based security services fit organizations that need managed execution and evidence-linked remediation rather than periodic assessments. The strongest match depends on whether the organization prioritizes incident throughput, governance deliverables, or remediation work item generation.
Security operations teams running cloud detection and response with throughput pressure
Deepwatch is built for incident-focused orchestration that converts customer telemetry into repeatable investigation and action workflows. Arctic Wolf supports analyst-led response workflows that coordinate containment and remediation across cloud and identity signals.
Governance and compliance stakeholders needing audit-ready evidence plus remediation planning
Schellman packages security findings into audit-ready evidence and remediation roadmaps that align control gaps with actionable next steps. Deloitte designs controls-to-evidence operating model deliverables that structure audit workflows around security governance.
Security teams converting findings into operational tasks for execution owners
Critical Start produces remediation workflow outputs that translate findings into evidence-linked work items that can be executed by operational teams. NetSPI supports retesting cycles by validating whether cloud misconfiguration findings are exploitable in practice.
Enterprises that must coordinate incident playbooks with an existing toolchain
Optiv Security provides managed operations that include detection tuning and incident playbook alignment using analyst-driven triage workflows. IBM Security focuses on IBM security orchestration workflows that guide incident actions with governance patterns for access control and audit logging.
Common mistakes when buying cloud based security services
Misalignment happens when expectations assume continuous monitoring or API-driven orchestration but the provider’s delivery model is primarily engagement based. Confusion also occurs when teams start without a governance review loop to keep remediation work moving from findings to accepted actions.
Assuming evidence packaging equals managed workflow execution
Schellman and BARR Advisory emphasize engagement artifacts and governance outputs, so operational follow-through depends on how remediation is structured after delivery. Critical Start and Deepwatch are better aligned when evidence must become remediation work items or orchestrated investigation and action workflows.
Buying remediation workflows without planning governance review and change control
Critical Start requires a governance and review process to keep remediation from stalling, so remediation execution needs a defined approval path. GuidePoint Security also requires disciplined change control to keep response actions aligned with existing governance.
Expecting exploit validation to replace continuous control monitoring
NetSPI’s exploit validation workflow supports proof of attackability and retesting cycles, but it does not replace SIEM-driven detections and continuous monitoring. Optiv Security and Arctic Wolf are positioned for ongoing detection tuning or analyst-led response workflows that respond to ongoing signals.
Underestimating onboarding and integration effort tied to environment access and log coverage
Arctic Wolf requires disciplined onboarding to map environments and get useful detections quickly, and that affects how fast containment and remediation workflows produce results. Deepwatch can deliver faster incident throughput when integration engineering connects cloud and application telemetry to workflows.
How We Selected and Ranked These Providers
We evaluated Deepwatch, Schellman, Optiv Security, Critical Start, NetSPI, Arctic Wolf, Deloitte, IBM Security, GuidePoint Security, and BARR Advisory on how well they produce repeatable security outcomes rather than one-off reports, with features weighted at 40%. We weighted ease of deployment and operational fit at 30% and value at 30% so teams could predict setup effort, ongoing coordination, and the practical use of delivered outputs.
Deepwatch separated itself through incident-focused orchestration that converts customer telemetry into repeatable investigation and action workflows, backed by service-led investigations and integration engineering that connects cloud and application telemetry to those workflows. The ranking also penalized providers whose automation and API extensibility are not positioned as core delivery mechanisms or whose effectiveness depends heavily on client onboarding scope and access to data sources.
Frequently Asked Questions About cloud based security
Which provider models incident response as investigation orchestration instead of dashboard monitoring?
How do cloud security services handle identity access coverage during investigation and remediation?
When do cloud security engagements include data migration or telemetry onboarding work for existing environments?
How do integrations and APIs affect security automation and throughput across multiple accounts?
Which providers produce audit-ready evidence packages tied to security findings and remediation plans?
What breaks if a cloud security service cannot align evidence artifacts with remediation work items?
Where does cloud security service coverage fall short when organizations need exploit-style validation, not just policy checks?
Which delivery model fits teams that already operate tools and want case-driven escalation and execution?
How do admin controls and centralized governance differ between providers that act as managed operations versus advisory delivery?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Cybersecurity Information SecurityTop 10 Best Cloud Based Cyber Security Services of 2026
- Cybersecurity Information SecurityTop 10 Best Cloud Based Identity Management Services of 2026
- Cybersecurity Information SecurityTop 10 Best Cloud Based Backup Services of 2026
- Cybersecurity Information SecurityTop 10 Best Cloud Based Security Software of 2026
- Cybersecurity Information SecurityTop 10 Best Cloud Based Access Control Software of 2026
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