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Cybersecurity Information SecurityTop 10 Best Security Automation Services of 2026
Top 10 ranking of Security Automation Services for enterprises, comparing Accenture Security, KPMG, and Booz Allen Hamilton by features and tradeoffs.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Accenture Security
Policy-aware provisioning workflows tied to RBAC and audit log evidence across automated remediations.
Built for fits when enterprise workflows need governed automation across identity, cloud, and security operations..
KPMG
Editor pickSchema-aligned workflow provisioning with RBAC and audit-log driven governance for automation execution.
Built for fits when regulated enterprises need governed security automation integration and auditability..
Booz Allen Hamilton
Editor pickRBAC and audit log traceability embedded into automated workflow provisioning and operation.
Built for fits when security engineering needs governed automation integrated into enterprise stacks..
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Comparison Table
The comparison table evaluates security automation service providers by integration depth, data model, and the automation and API surface used for orchestration and provisioning. It also compares admin and governance controls such as RBAC, audit log coverage, and change tracking so teams can assess extensibility, configuration boundaries, and throughput impacts across deployments. Entries include firms like Accenture Security, KPMG, Booz Allen Hamilton, and IBM Consulting, plus Rapid7’s delivery through MDR and IR consulting teams.
Accenture Security
enterprise_vendorSecurity engineering delivery focused on automation for incident response and control operations, with integration to identity, data models, and RBAC-aligned governance.
Policy-aware provisioning workflows tied to RBAC and audit log evidence across automated remediations.
Accenture Security supports security automation delivery by designing the data model that ties alerts, assets, and identity state to specific actions. Work products usually include integration specifications for APIs, event schemas, and provisioning flows, which reduces ambiguity during handoff to operations. The automation and API surface often spans orchestration endpoints, identity connectors, and security platform integrations that drive consistent configuration across domains.
A key tradeoff is that implementation depth depends on staffed integration design and controlled scope, not on self-serve automation alone. Teams use it when complex cross-system workflows require tight governance, like RBAC-aligned access changes and auditable remediation steps tied to defined event triggers. One usage fit is moving from manual triage to repeatable runbooks that keep audit log coverage and permission boundaries intact.
- +Integration specs map events to actions with a defined automation data model
- +Governance includes RBAC scoping and audit log coverage for automation-driven changes
- +API and workflow design supports cross-domain orchestration across identity and security tools
- –Automation breadth can require tailored integration design and staffing
- –Time-to-automation depends on data schema alignment across connected systems
Security operations teams
Automate alert triage to remediation actions
Faster containment with traceability
Identity and access teams
Automate access changes from risk signals
Reduced access drift
Show 2 more scenarios
Cloud security engineers
Provision secure configurations from schemas
Consistent policy enforcement
Use an automation data model to generate compliant configs from platform events.
GRC and compliance teams
Ensure audit-ready automation evidence
Easier compliance review
Maintain audit log coverage for each automated step tied to governance controls.
Best for: Fits when enterprise workflows need governed automation across identity, cloud, and security operations.
More related reading
KPMG
enterprise_vendorSecurity automation consulting for regulated environments that structures workflow schemas, automates provisioning, and enforces RBAC plus audit log traceability.
Schema-aligned workflow provisioning with RBAC and audit-log driven governance for automation execution.
Teams that need security automation to run inside real enterprise constraints typically use KPMG to map systems into an automation data model that supports consistent actions and reporting. KPMG engagement outputs often include workflow design for event ingestion, identity-aware execution, and change management across environments. Integration depth is demonstrated through connector work, API surface definition, and operational runbooks that translate into automation configuration and repeatable provisioning.
A tradeoff is that KPMG delivery tends to fit organizations that want assisted implementation and governance controls, not teams that only need a thin automation wrapper or self-serve scripting. A common usage situation is rolling out automated triage and response workflows where audit log coverage, least-privilege access, and schema alignment across security tooling affect acceptance timelines. Organizations also rely on KPMG when automation must move across sandbox, pilot, and production with controlled configuration and measurable throughput.
- +Strong focus on automation-ready integration patterns across enterprise systems
- +Governance controls built around RBAC, audit logging, and configuration discipline
- +Clear schema and data model mapping for consistent workflow behavior
- –Best fit for guided implementation rather than quick self-serve automation
- –API surface definition and onboarding can add overhead for small teams
Security operations leadership
Automated triage with audit-backed execution
Reduced manual handling volume
IAM and GRC teams
Least-privilege automation with evidence trails
Fewer access-control exceptions
Show 2 more scenarios
Platform engineering teams
API-driven orchestration across tools
Higher automation throughput
Integration work defines API surface contracts and schema alignment across security tooling endpoints.
Incident response program owners
Controlled response workflows across environments
More consistent response operations
KPMG supports environment separation with sandbox, pilot, and production configuration management for automation.
Best for: Fits when regulated enterprises need governed security automation integration and auditability.
Booz Allen Hamilton
enterprise_vendorSecurity automation engineering services that integrate detection, response, and access control data models into governed orchestration for high-assurance operations.
RBAC and audit log traceability embedded into automated workflow provisioning and operation.
Booz Allen Hamilton is a strong fit for teams that need automation tied into existing security tooling and operational guardrails, because integration depth is part of the delivery scope. Delivery artifacts commonly cover data model design and schema alignment so events, entities, and remediation steps share consistent identifiers across systems. Admin and governance controls are handled with attention to RBAC, configuration governance, and audit log traceability for automated changes. Automation and API surface are treated as extensibility work, including connector implementation, workflow orchestration, and controlled rollout patterns.
A tradeoff appears when internal teams already have standardized schemas and an automation runtime with mature connectors, because added mapping and governance work can extend project timelines. A strong usage situation is a SOC or security engineering team needing automated triage and response actions that must route through identity constraints and provide end to end traceability. In that scenario, schema alignment plus RBAC and audit log controls reduce operator risk while improving throughput for high volume event streams.
- +Deep integration delivery across security tooling and operational workflows
- +Data model and schema mapping supports consistent entities and actions
- +Governance focus includes RBAC controls and audit log oriented traceability
- +Extensible automation via API driven connectors and orchestration
- –Schema mapping and governance work can add delivery lead time
- –Best results require existing access controls and clear system ownership
- –Connector work depends on available interfaces and event instrumentation quality
Security operations teams
Automated triage routed through identity constraints
Reduced analyst workload for repeatable cases
Security engineering orgs
Schema aligned event to action workflows
Fewer mapping failures across tools
Show 2 more scenarios
IT governance and compliance
Controlled rollout of automation changes
Improved change accountability
Provisioning and configuration governance tracks automated changes through audit logs and access controls.
Enterprise platform teams
API based orchestration for connectors
Higher automation coverage per incident
API connector implementation extends automation surface area for orchestration across security platforms.
Best for: Fits when security engineering needs governed automation integrated into enterprise stacks.
IBM Consulting
enterprise_vendorSecurity automation services that design orchestration and integration layers across identity, ticketing, and security telemetry with governance, auditing, and extensibility.
Governance-focused automation delivery that ties RBAC, audit logs, and change-controlled execution to orchestration runs.
IBM Consulting delivers Security Automation Services through IBM-owned accelerators and client-specific delivery, anchored on integration depth across cloud, identity, and security tooling. Its automation and API surface is built around orchestrations that connect to ticketing, SIEM, SOAR, and IAM systems, with configuration managed via defined data models for repeatable runs.
Governance is handled through RBAC-aligned access patterns, environment separation for non-production testing, and audit logging practices tied to operational change control and execution tracking. For teams needing schema-driven provisioning, throughput-aware execution design, and extensibility for custom playbooks, IBM Consulting provides end-to-end automation implementation and operational enablement.
- +Deep integration across IAM, SIEM, SOAR, and workflow systems via documented interfaces
- +Schema-driven data model improves repeatability for automated provisioning
- +Governance oriented delivery with RBAC-aligned access and audit log retention
- +Extensibility supports custom playbooks and integration adapters for new tools
- –Delivery model can require substantial integration effort for nonstandard toolchains
- –Automation design depends on client data quality and identity mapping consistency
- –Higher operational overhead is expected for multi-environment sandboxing and controls
- –API surface breadth varies by engagement scope and selected integration targets
Best for: Fits when enterprises need secure orchestration integration with governance, auditability, and controlled rollout.
Rapid7 (Security Automation Services via MDR and IR consulting teams)
enterprise_vendorAutomation-focused security operations services that connect vulnerability and detection telemetry into governed response workflows with operational audit trails.
RBAC and audit log coverage for playbook configuration and operator actions across MDR workflows.
Rapid7 (Security Automation Services via MDR and IR consulting teams) delivers security automation implementation work that connects detection, enrichment, and response playbooks to live telemetry. Integration depth is driven through Rapid7 MDR workflows and consulting-led IR automation that maps alerts into a controlled data model with consistent fields and schemas.
Automation and API surface are used to provision integrations, push configuration, and route events into orchestration steps with defined throughput behavior. Admin and governance controls focus on RBAC-aligned access boundaries and audit log visibility for playbook changes and operator actions.
- +Integrates MDR workflows with automation steps tied to alert and case objects
- +Consulting delivery translates IR procedures into repeatable automation tasks
- +API-driven integration patterns support configuration and data flow provisioning
- +RBAC-aligned access boundaries reduce accidental playbook or config changes
- +Audit log coverage tracks operator actions and playbook configuration updates
- –Automation depends on mapping telemetry into Rapid7-compatible schemas
- –Complex multi-system enrichment can increase integration effort and test cycles
- –Governance requires disciplined role design and change management process
- –Response orchestration breadth can be limited by connected tool capabilities
- –Throughput tuning often requires iterative sandbox validation
Best for: Fits when operations teams need managed MDR and IR automation with strict governance.
Secureworks
enterprise_vendorManaged detection and response services with automation engineering for triage, containment workflows, and integration to identity and ticketing under governance.
Role-based access plus auditable workflow execution for automated response actions.
Secureworks fits organizations that need security automation tied to a documented incident and alert workflow, not just isolated scripts. Integration depth centers on connecting data sources to a consistent detection context, then driving automated response playbooks with governed execution.
Automation and API surface focus on orchestration hooks that support case context, action routing, and configurable workflows across environments. Admin and governance controls rely on role-based permissions and traceable activity so teams can audit what actions ran and why.
- +Case-context orchestration supports action execution tied to alert lineage
- +Governance controls include role-based access and audit logging
- +Integration model emphasizes consistent data mapping across sources
- –Automation throughput depends on workflow design and execution queue limits
- –Data model rigidity can slow custom schemas for niche telemetry
- –Extensibility requires alignment to the vendor workflow conventions
Best for: Fits when security operations need governed automation across multiple data sources and response steps.
Atos
enterprise_vendorSecurity operations automation services that integrate monitoring and response orchestration with configuration governance, RBAC, and audit logging.
Policy-driven automation with audit-tracked remediation tied to IAM-based governance roles.
Atos operates as an end-to-end security automation services provider with delivery anchored in enterprise integration and managed execution. Integration depth centers on connecting security tooling through documented APIs, job orchestration, and enterprise IAM workflows used for provisioning and access governance.
The data model focus is on mapping events, identities, and remediation intents into a consistent schema that supports automation routing and policy enforcement. Admin and governance controls rely on RBAC, audit logging, and change tracking that support repeatable automation deployments across environments.
- +Enterprise integration work covers IAM provisioning, ticketing hooks, and automation orchestration
- +Automation execution can be configured around policy checks and identity attributes
- +Governance controls support RBAC alignment with least privilege automation roles
- +Audit logging and change records support traceability for automated remediations
- –Automation surface may require more integration effort for niche tooling
- –Data model mapping overhead increases when event schemas differ by source
- –API coverage depends on the connected security stack and runbook design
Best for: Fits when enterprises need controlled, schema-mapped automation across multiple security systems.
Mandiant Services
enterprise_vendorSecurity automation and security operations engineering delivered through incident response, detection engineering, and orchestration-focused operational programs for SOC and threat hunting workflows.
Incident response orchestration using playbooks with controlled evidence and containment workflows.
Mandiant Services delivers security automation tied to incident response workflows, threat intelligence, and operational playbooks. Automation coverage centers on response orchestration tasks like evidence handling, containment coordination, and analyst-assisted triage using documented runbooks.
Integration depth is largely achieved through hands-on implementation with customer tooling and controlled data flows rather than a broad self-serve automation catalog. The service also emphasizes governance through RBAC-aligned access patterns, audit-ready activity tracking, and repeatable procedure configuration across environments.
- +Runbook-driven response automation mapped to analyst workflows
- +Implementation support improves integration depth with customer toolchains
- +Governance focus supports RBAC access patterns and auditable actions
- –Automation breadth depends on engagement scope and access to systems
- –API surface for self-serve automation is less evident than workflow tooling
- –Data model extensibility relies on project-specific configuration
Best for: Fits when teams need managed automation implementation across incident response and governance.
How to Choose the Right Security Automation Services
This buyer's guide covers Security Automation Services providers that design and run integration-heavy automation across identity, security telemetry, ticketing, SIEM, and SOAR workflows. It compares Accenture Security, KPMG, Booz Allen Hamilton, IBM Consulting, Rapid7, Secureworks, Atos, and Mandiant Services using integration depth, data model design, automation and API surface, and admin governance controls.
The guide targets teams that need schema-aligned automation with RBAC scoping and audit log evidence for automated remediation and operational change. It also maps common implementation tradeoffs like schema alignment overhead and connector lead time to concrete provider examples.
Security Automation Services that turn security signals into governed, schema-based workflows
Security Automation Services connect security detections, identity context, and operational systems into automation workflows that run playbooks with controlled execution. These services also define a data model and schema mapping so triggers, findings, and remediation actions share consistent entities across tools.
Accenture Security and KPMG exemplify this practice through policy-aware provisioning tied to RBAC access boundaries and audit log traceability. Booz Allen Hamilton and IBM Consulting extend the same approach into extensible orchestration runs across identity, endpoint, ticketing, SIEM, and SOAR systems.
Evaluation criteria for integration depth, data model control, API automation surface, and governance
Integration depth matters because automation triggers and remediation steps must map cleanly across identity systems, security telemetry, and case management tools. KPMG, Booz Allen Hamilton, and IBM Consulting emphasize schema-aligned provisioning and connector-driven orchestration that reduce ambiguity in workflow execution.
Data model design matters because throughput, repeatability, and governance depend on consistent fields, schemas, and entity definitions. Rapid7 and Secureworks emphasize telemetry and case objects that feed governed playbook steps while Accenture Security and Atos focus on policy-aware change records and IAM-based governance alignment.
Automation data model and schema mapping for consistent entities
Accenture Security maps security signals to an automation data model and then executes actions through runbooks. KPMG builds schema-aligned workflow provisioning so automation execution behaves consistently across environments.
RBAC-scoped admin controls tied to auditable automation changes
Booz Allen Hamilton embeds RBAC enforcement and audit log traceability into workflow provisioning and operation. Rapid7 and Secureworks also focus on RBAC-aligned access boundaries plus audit log visibility for playbook configuration and operator actions.
Policy-aware provisioning and change-controlled execution evidence
Accenture Security stands out with policy-aware provisioning workflows that connect RBAC scoping to audit log evidence across automated remediations. IBM Consulting ties orchestration runs to operational change control and execution tracking while Atos emphasizes audit-tracked remediation tied to IAM-based governance roles.
Automation and API surface for integration and operational orchestration
IBM Consulting delivers orchestration layers with documented interfaces that connect to ticketing, SIEM, SOAR, and IAM systems. Booz Allen Hamilton also delivers extensible workflows with API-driven connectors that support governed orchestration across enterprise stacks.
Throughput-aware execution design and queue behavior
Rapid7 highlights throughput behavior that depends on iterative sandbox validation when enrichment and multi-system routing grow complex. Secureworks explicitly ties automation throughput to workflow design and execution queue limits for triage and containment steps.
Extensibility via playbooks, adapters, and environment separation for rollout control
IBM Consulting supports custom playbooks and integration adapters when adding new tools and maintaining controlled rollout across non-production testing. Mandiant Services emphasizes runbook-driven response automation with controlled evidence handling and containment workflows, and it relies on project-specific configuration for data model extensibility.
Decision framework for selecting a Security Automation Services provider with control depth
The selection process should start with integration breadth and data model alignment, because the majority of delivery lead time typically comes from mapping signals and identities into a consistent schema. Accenture Security and IBM Consulting fit teams that need identity and security operations to connect through documented interfaces.
Next, governance needs must drive the admin control checklist, because RBAC scoping and audit log evidence determine whether automated remediation actions withstand compliance scrutiny. KPMG, Booz Allen Hamilton, and Rapid7 emphasize RBAC plus audit trails for configuration and operator actions across workflow runs.
Map the target workflow to a concrete automation data model
Define which entities must remain consistent across triggers and actions, such as alerts, case objects, identity attributes, evidence, and remediation intents. Accenture Security and KPMG excel when the workflow can be expressed through a schema-aligned automation data model that standardizes fields across connected systems.
Validate the automation and API surface against the integration plan
List every integration the workflow needs, including ticketing, SIEM, SOAR, IAM, and endpoint sources, and then confirm how each integration connects to orchestration steps. IBM Consulting and Booz Allen Hamilton focus on orchestration runs with documented interfaces and extensible connectors, while Rapid7 uses API-driven integration patterns tied to MDR workflows and playbook steps.
Require RBAC scoping and audit log evidence for every automated change
Select the provider that can show RBAC enforcement for automation roles and audit logging for playbook configuration plus remediation executions. Booz Allen Hamilton, Accenture Security, and Secureworks emphasize RBAC-aligned access boundaries with traceable activity so teams can audit what actions ran and why.
Test throughput and enrichment behavior with the intended telemetry shape
Treat throughput validation as a workflow design requirement, because queue behavior and enrichment complexity can change operational performance. Rapid7 and Secureworks both tie execution behavior to how telemetry is mapped into vendor-compatible schemas and how orchestration queues are managed in practice.
Choose a delivery approach that matches the organization’s change-control maturity
For controlled rollout and multi-environment safety, IBM Consulting highlights environment separation for non-production testing tied to execution tracking. For incident response programs that emphasize analyst runbooks and evidence handling, Mandiant Services delivers playbook-driven orchestration with controlled evidence and containment workflows.
Which organizations benefit from Security Automation Services and guided automation implementation
Security Automation Services fit organizations that need automation tied to governance, not isolated scripts. The best fit depends on whether the organization needs identity and cloud orchestration, regulated auditability, MDR case workflows, or incident response playbook control.
Providers differ by how they deliver integration and governance, so the target operating model should drive the selection. Accenture Security and IBM Consulting target enterprises with broad identity and security operations integration needs, while Rapid7 and Secureworks target operations teams that manage MDR and response workflows with auditable playbook execution.
Enterprises needing governed automation across identity, cloud, and security operations
Accenture Security is a strong match because its policy-aware provisioning workflows tie RBAC scoping to audit log evidence across automated remediations. IBM Consulting is also a fit because it delivers orchestration integration across IAM, SIEM, SOAR, and workflow systems with change-controlled execution tracking.
Regulated teams that require schema-aligned workflow provisioning and audit traceability
KPMG fits when automation must be repeatable with RBAC-aligned access, audit log traceability, and configuration discipline that supports compliance evidence. Booz Allen Hamilton is also appropriate because it embeds RBAC and audit log traceability into automated workflow provisioning and operation.
Security operations groups running MDR or incident response workflows that must stay governed
Rapid7 fits operations teams because it integrates MDR workflow steps with automation tasks that map alerts into controlled data models. Secureworks fits when case-context orchestration must remain auditable and tied to alert lineage across triage and containment response steps.
Enterprises focused on policy-driven automation tied to IAM governance roles
Atos fits because it emphasizes policy-driven automation with audit-tracked remediation tied to IAM-based governance roles. This segment also benefits from schema-mapped automation across multiple security systems where audit logging and change records drive repeatability.
SOC and threat hunting teams that need runbook-driven response orchestration with controlled evidence handling
Mandiant Services fits teams that want incident response orchestration using playbooks with evidence handling, containment coordination, and analyst-assisted triage. It also aligns with governance through RBAC-aligned access patterns and auditable activity tracking across environments.
Common pitfalls when selecting a provider for security automation and governed execution
Many failed security automation programs stall on schema alignment and connector readiness rather than on the playbook concept itself. Integration lead time is especially sensitive when event schemas differ across sources or when connected tools lack the expected interfaces.
Governance can also break if RBAC roles and audit log evidence are treated as an afterthought instead of as part of workflow provisioning and operational change control. Accenture Security, KPMG, Booz Allen Hamilton, and Rapid7 all emphasize RBAC and audit visibility as core delivery elements, while other providers can require more disciplined role design to reach the same level.
Skipping automation data model mapping for identity, alerts, and remediation intents
Avoid selecting a provider that treats schema mapping as incidental when your workflow depends on consistent entities across triggers and actions. Accenture Security and KPMG focus on automation data model and schema-aligned workflow provisioning so fields stay consistent.
Assuming every automation connector is immediately available for the intended API surface
Connector work can add lead time when existing instrumentation does not provide the interfaces and event quality automation needs. Booz Allen Hamilton and IBM Consulting focus on extensible workflows and documented interfaces, while Rapid7 and Secureworks still require telemetry mapping into controlled vendor-compatible schemas.
Designing RBAC roles without planning for audit log evidence on playbook changes and operator actions
RBAC scoping without audit log traceability breaks compliance evidence for automated remediations. Booz Allen Hamilton, Secureworks, and Rapid7 emphasize audit log coverage for playbook configuration and operator actions.
Optimizing for automation breadth instead of workflow test cycles and throughput behavior
Throughput tuning can require iterative sandbox validation when enrichment and multi-system routing increase complexity. Rapid7 and Secureworks tie execution behavior to queue limits and workflow design, so throughput tests must be scheduled before expanding playbooks.
Treating rollout controls as optional when multiple environments are needed
Multi-environment sandboxing and controlled rollout add operational overhead if governance is not planned upfront. IBM Consulting explicitly calls out environment separation and change-controlled execution tracking, while Atos and KPMG emphasize configuration discipline tied to governed provisioning.
How We Selected and Ranked These Providers
We evaluated Accenture Security, KPMG, Booz Allen Hamilton, IBM Consulting, Rapid7, Secureworks, Atos, and Mandiant Services using criteria that reflect how security automation delivery behaves in governed enterprise workflows. Each provider was scored on capabilities such as integration depth, automation and API surface, and automation data model control, then scored on ease of use for onboarding and configuration, and scored on value for operational control outcomes. Capabilities carried the most weight because schema alignment, connector execution, and governance evidence determine whether automation can run reliably under RBAC and audit logging. We then used an overall rating as a weighted average where capabilities contributes the largest share, while ease of use and value each account for a meaningful portion of the total.
Accenture Security separated from lower-ranked providers by coupling policy-aware provisioning workflows to RBAC scoping and audit log evidence across automated remediations, which directly strengthens both the capabilities and governance-control factors used in the ranking.
Frequently Asked Questions About Security Automation Services
How do security automation services differ in API and integration depth across identity, SIEM, SOAR, and ticketing?
Which providers focus most on RBAC and audit log evidence for automated remediation actions?
What onboarding and delivery model is most common, and how does it affect time to first working automation?
How do teams migrate from existing scripts or runbooks into a unified automation schema?
How do these services handle environment separation for configuration, testing, and controlled rollout?
What technical requirements usually determine whether an automation service can connect to the current security stack?
Which providers are strongest for extensibility when custom playbooks or automation steps must be added later?
What common failure modes appear in security automation projects, and how do services prevent them?
How do providers support throughput and execution behavior for high-volume orchestration?
Conclusion
After evaluating 8 cybersecurity information security, Accenture Security 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.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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