01Business KPIs — Last 12 Months
02Use Cases & Playbook Distribution
Cumulative Playbooks Built — Last 90 Days
New Active Workflows Added — Last 30 Days
| Use Case | Key Business KPIs | Share of Activity | Playbooks |
|---|---|---|---|
| SOC Threat Detection & IOC Processing |
| 76.6% | 3 3 active |
| Employee Offboarding — Full Lifecycle |
| 7.5% | 14 12 active |
| Temporary Workforce Lifecycle (Joiner & Leaver) |
| 1.1% | 2 1 active |
| Identity Lifecycle & Health Monitoring | 205 executions | 0.7% | 8 5 active |
| Cloud Access & Entra Governance | 10 executions | 0.0% | 2 2 active |
| IT Service Request Automation |
| 3.2% | 1 1 active |
| Connection Health Monitoring | 40 executions | 0.1% | 1 1 active |
| Retail Workforce Training Provisioning |
| 0.1% | 1 1 active |
| Employee Onboarding — Full Lifecycle |
| 10.5% | 16 14 active |
| Total | 30,052 executions | 100% | 48 40 active |
Use Case Growth Over Time
03Integration Ecosystem
04Key Observations
Strengths
- High-volume SOC automation at scale: The SentinelOne + Expel pipeline processes ~23,000 events per year on a 5-minute polling interval. This represents the highest-volume use case by a wide margin and eliminates what would otherwise be thousands of manual alert-triage decisions annually.
- Deep, multi-system offboarding pipeline: Employee offboarding spans 8 systems including Delinea PAM for privileged account revocation, two Manhattan supply chain platforms, and core enterprise tools (Celigo, Matillion, DataDog, Looker). The combination of automated HR triggers (Workday via Snowflake, Ranger API) and a manual web-form pathway for ad-hoc cases ensures complete coverage across all departure types.
- Data-first IAM architecture: Snowflake serves as the authoritative data layer for user metadata sync, termination detection, and high-value target tracking — making the IAM pipeline data-driven rather than solely event-driven.
- Operational resilience built in: Daily connection health checks and IAM health check playbooks indicate a mature approach to automation monitoring and failure detection rather than reactive debugging.
- Full employee onboarding now in production: The previously dev-only joiner
gap has closed. A new production pipeline provisions accounts for both Oxford and Tommy Bahama brands, syncs Ranger contractor and Workday new-hire identities (1,986 executions), and drives Jira-tracked, OU-mapped Active Directory/Entra ID provisioning — delivering the symmetric onboarding/offboarding coverage previously missing.
Gaps / Opportunities
- Onboarding pipeline has duplicate/near-duplicate utilities: Four zero-execution backfill playbooks (Backfill, Backfills, BackfillNewHire, BackfillNewHIres) perform overlapping Snowflake reconciliation logic. Consolidating these would reduce clutter as the new onboarding pipeline matures.
- Vulnerability management is inactive: Rapid7 is integrated and a playbook exists in the production workspace, but it has 0 executions. The integration is deployed but no active automation is driving it.
- No GRC or compliance automation: There is no coverage for compliance monitoring, DLP, audit reporting, RBAC access review/certification, or regulatory controls. Given the depth of IAM investment, automated access certification campaigns are a natural next step.
- Cloud security scope is narrow: Entra credential monitoring and mobile access policy enforcement cover a small slice of cloud governance. No CSPM, cloud asset inventory, or broader configuration audit automation is present.
- 5 sandbox/test playbooks with 0 executions exist across three separate test workspaces (New Workflow, New Workflow 1, Sub Workflow, Parent Workflow, Workflow Version History Test) — these can be cleaned up to reduce workspace clutter.
Integration Ecosystem
| Domain | Integrations |
|---|---|
| EDR / MDR | SentinelOne, Expel |
| Identity & Directory | Microsoft Entra ID, Active Directory (WinRM/ADOP), Exchange Online, Delinea (PAM) |
| ITSM | ServiceNow, Jira |
| Data / HR | Snowflake, Workday (via Snowflake), Ranger API |
| Business Applications | Celigo, Matillion, DataDog, Looker, Manhattan Active Omni, Manhattan Active Warehouse Management |
| Scripting / Compute | Python, PowerShell, WinRM |
A Case Management
Case Management
No case management data found for this customer.
B AI Agents 0 active | 0 tasks (12m)
AI Agents
| # | Agent | Workspace | Tasks (12m) | Tasks (30d) | Data (12m) |
|---|---|---|---|---|---|
| 1 | New Agent | alex.doliner@blinkops.com | 0 | 0 | 0 |
| 2 | New Agent | Global | 0 | 0 | 0 |
| Workspace | Tasks (12m) |
|---|---|
| alex.doliner@blinkops.com | 0 |
| Global | 0 |
C Self-Service & Webforms 0 app runs | 0 form submissions
Self-Service Applications
| # | App | Runs (12m) | Runs (30d) |
|---|---|---|---|
| 1 | Sandbox | 0 | 0 |
| 2 | workflow-metrics-DEV | 0 | 0 |
Webforms
| # | Form | Total | Completed |
|---|---|---|---|
| 1 | IAM Joiner TB Legacy | 0 | 0 |
| 2 | asd | 0 | 0 |
| 3 | Manual Leaver | 0 | 0 |
| 4 | IAM Joiner TB Legacy | 0 | 0 |
| 5 | Manual Leaver | 0 | 0 |
D Full Use Case Analysis 9 use cases | 30,102 executions (12m)
Business KPIs
| Metric | Count | Playbook |
|---|---|---|
| Security threat events detected and triaged | 11,541 | SentinelOne Threats |
| IOC investigations automatically processed | 11,540 | Expel IOC |
| Employee and contractor identity records synced (Ranger & Workday) | 1,986 | Sync |
| Application access requests processed | 961 | ServiceNOW Application Request |
| Temporary warehouse staff accounts provisioned | 321 | Temporary Warehouse Staff Joiner |
| Employee offboardings completed (full lifecycle) | 129 | IAM Leaver |
| Temporary warehouse staff accounts deprovisioned | 41 | Temporary Warehouse Staff Leaver |
| Retail training access records synced | 41 | Lilly Pulitzer Retail Training |
| Ranger contractor onboarding accounts provisioned | 33 | 001 IAM Joiner Ranger |
| Full employee onboardings completed (Oxford & Tommy Bahama) | 18 | IAM Joiner |
| Manual ad-hoc leaver flows executed | 17 | IAM-AD-HOC |
| Workday-triggered automated offboarding runs | 10 | IAM Leaver Workday |
| Ranger-triggered contractor deprovisioning runs | 10 | IAM Leaver Ranger |
Use Case Summary
| # | Use Case | Category | Playbooks | Executions (12mo) |
|---|---|---|---|---|
| 1 | SOC Threat Detection & IOC Processing | SOC | 4 | 23,121 |
| 2 | Employee Offboarding — Full Lifecycle | IAM | 28 | 1,434 |
| 3 | Temporary Workforce Lifecycle (Joiner & Leaver) | IAM | 3 | 366 |
| 4 | Identity Lifecycle & Health Monitoring | IAM | 9 | 241 |
| 5 | Cloud Access & Entra Governance | Cloud Security | 2 | 9 |
| 6 | IT Service Request Automation | Other | 1 | 961 |
| 7 | Connection Health Monitoring | Other | 1 | 41 |
| 8 | Retail Workforce Training Provisioning | Other | 1 | 41 |
| 9 | Employee Onboarding — Full Lifecycle | IAM | 15 | 3,115 |
Use Cases
1. SOC Threat Detection & IOC Processing
Description: Fully automated threat detection and IOC investigation pipeline running at a 5-minute polling cadence across SentinelOne EDR and Expel MDR. Each threat event and IOC is automatically fetched, evaluated, and routed without analyst involvement in the initial triage layer. A daily health check validates that both integrations are operating correctly.
Business problem: Alert volume exceeds human capacity to triage manually. A continuous polling automation layer ensures no event is missed and response begins immediately — at a volume that would be operationally impossible to handle manually.
Integrations: SentinelOne, Expel, PowerShell
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| Expel IOC | 11,540 | Scheduled (every 5 min) | SOC | Alert enrichment / IOC lookup, Case mgmt & SOAR |
| SentinelOne Threats | 11,541 | Scheduled (every 5 min) | SOC | EDR containment & response, Alert enrichment / IOC lookup |
| IOC Health Check | 40 | Scheduled (daily) | SOC | Alert enrichment / IOC lookup, SIEM & log pipeline monitoring |
| Expel IOC | 0 | On demand (subflow) | SOC | Alert enrichment / IOC lookup |
2. Employee Offboarding — Full Lifecycle
Description: End-to-end employee and contractor offboarding spanning identity deprovisioning in Microsoft Entra ID and Active Directory, plus access revocation across 7 business applications (Celigo, Matillion, DataDog, Looker, Manhattan Active Omni, Manhattan Active Warehouse Management, Delinea PAM). Triggered by automated HR feeds from Workday (via Snowflake) and Ranger API on daily schedules, plus a manual web-form pathway for ad-hoc cases. All offboarding actions are tracked with Jira comments for audit. A full dev workspace mirrors the production stack for continuous iteration.
Business problem: Manual offboarding across 8+ systems takes hours per leaver and creates identity sprawl and access risk. Automation ensures access is revoked consistently and immediately from every system — with Jira ticketing as the audit trail.
Integrations: Microsoft Entra ID, Active Directory (WinRM), Snowflake, Ranger API, ServiceNow, Jira, Celigo, Matillion, DataDog, Looker, Manhattan Active Omni, Manhattan Active Warehouse Management, Delinea, Python, PowerShell
Production Workspace
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| IAM Leaver | 129 | On demand | IAM | Employee offboarding, Identity lifecycle automation |
| IAM-AD-HOC | 17 | Event (web form) | IAM | Employee offboarding, Identity lifecycle automation |
| IAM Leaver Workday | 10 | Scheduled (daily) | IAM | Employee offboarding, Identity sync & directory mgmt |
| IAM Leaver Ranger | 10 | Scheduled (daily) | IAM | Employee offboarding, Identity sync & directory mgmt |
| IAM Leaver Apps Subflow | 112 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Manhattan Active Omni | 144 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Manhattan Active Warehouse Management | 201 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Celigo | 112 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Matillion | 110 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| DataDog | 112 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Looker | 110 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Delinea | 113 | On demand (subflow) | IAM | Employee offboarding, Privileged account mgmt |
| Rapid7 | 0 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| datadog | 197 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| ranger | 44 | On demand (subflow) | IAM | Employee offboarding, Identity sync & directory mgmt |
Development Workspace
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| IAM Leaver | 2 | On demand | IAM | Employee offboarding, Identity lifecycle automation |
| IAM-AD-HOC | 11 | Event (web form) | IAM | Employee offboarding, Identity lifecycle automation |
| IAM Leaver Workday | 0 | On demand | IAM | Employee offboarding, Identity sync & directory mgmt |
| IAM Leaver Ranger | 0 | On demand | IAM | Employee offboarding, Identity sync & directory mgmt |
| IAM Leaver Apps Subflow | 0 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Manhattan Active Omni | 0 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Manhattan Active Warehouse | 0 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Celigo | 0 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Matillion | 0 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| DataDog | 0 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Looker | 0 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
| Delinea | 0 | On demand (subflow) | IAM | Employee offboarding, Privileged account mgmt |
| ranger | 0 | On demand (subflow) | IAM | Employee offboarding, Access review & group mgmt |
3. Temporary Workforce Lifecycle (Joiner & Leaver)
Description: Automated lifecycle management for temporary warehouse staff, provisioning accounts every 3 hours via the Ranger workforce API and deprovisioning on a daily schedule. A full-employee joiner flow (covering Entra ID account creation with Python normalization and OU mapping) exists in the development workspace with early executions.
Business problem: Temporary workforce turnover is high and constant. Manual account management at this volume creates orphaned accounts and access risk; automation eliminates both and ensures shift-ready access at all times.
Integrations: Ranger API, Microsoft Entra ID, Active Directory (WinRM), Python, PowerShell
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| Temporary Warehouse Staff Joiner | 321 | Scheduled (every 3 hrs) | IAM | Employee onboarding, JIT & temporary access |
| Temporary Warehouse Staff Leaver | 41 | Scheduled (daily) | IAM | Employee offboarding, JIT & temporary access |
| IAM Joiner | 4 | On demand | IAM | Employee onboarding, Identity lifecycle automation |
4. Identity Lifecycle & Health Monitoring
Description: Supporting playbooks that maintain data integrity and operational health across the IAM pipeline. Covers daily user metadata sync from Snowflake, directory hygiene checks (litigation hold status, disabled-account cleanup), weekly tracking of high-value target employees and their direct reports, self-service account unlock, and scheduled health checks that validate termination processing is functioning correctly end-to-end.
Business problem: IAM automation is only reliable if its underlying data is current and its execution is verified. These playbooks provide the observability and data hygiene layer that makes the broader offboarding pipeline trustworthy.
Integrations: Snowflake, Microsoft Entra ID, Exchange Online, PowerShell, Blink Tables
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| User Metadata Sync | 41 | Scheduled (daily) | IAM | Identity sync & directory mgmt |
| IAM Health Check - OLD | 34 | On demand | IAM | Identity lifecycle automation |
| Directory Hygiene Cleaner | 114 | On demand | IAM | Identity sync & directory mgmt |
| Directory Hygiene | 37 | Scheduled (daily) | IAM | Identity sync & directory mgmt |
| High Value Targets | 6 | Scheduled (weekly) | IAM | Access review & group mgmt, Identity sync & directory mgmt |
| IAM Termination Health Check | 6 | Scheduled (weekly) | IAM | Employee offboarding, Identity lifecycle automation |
| IAM-HealthCheck-PROD | 1 | Scheduled (daily) | IAM | Identity lifecycle automation |
| Unlock Account | 2 | On demand | IAM | Password & credential lifecycle, Identity lifecycle automation |
| IAM-HealthCheck-DEV | 0 | On demand | IAM | Identity lifecycle automation |
5. Cloud Access & Entra Governance
Description: Two targeted governance automations for Microsoft Entra ID: a credential expiry monitor that checks enterprise application certificate and secret expiry on a rolling schedule (preventing service outages from lapsed credentials), and a weekly policy enforcement run that reviews non-exempt mobile access for warehouse workers.
Business problem: Expired app credentials cause production outages; unchecked mobile access creates compliance gaps. Both require regular detection that is impractical to run manually at scale.
Integrations: Microsoft Entra ID, Snowflake
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| Non Exempt Mobile Access | 6 | Scheduled (weekly) | Cloud Security | Cloud access & SaaS policy mgmt |
| Entra Enterprise Apps | 3 | Scheduled (every 12 days) | Cloud Security | Config audit & remediation, Cloud access & SaaS policy mgmt |
6. IT Service Request Automation
Description: Hourly processing of application access requests submitted through ServiceNow. Polls for open records, iterates over them, and processes each request — eliminating manual IT queue management for a high-volume, recurring request type.
Business problem: Application access requests accumulate in the ServiceNow queue and require constant manual review. Hourly automation processes them without IT intervention, reducing fulfillment time from hours to minutes.
Integrations: ServiceNow
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| ServiceNOW Application Request | 961 | Scheduled (hourly) | Other | IT helpdesk & ticket routing, SaaS / IT administration |
7. Connection Health Monitoring
Description: Daily validation that all critical integration endpoints — Ranger API, Active Directory (OXM), and Microsoft Entra ID — are reachable and returning expected responses. Provides an early-warning signal for integration failures before they cause silent automation breakdowns downstream.
Business problem: Broken connections cause automation failures that are invisible until an offboarding or provisioning event fails mid-execution. A daily health check surfaces issues proactively.
Integrations: Ranger API, Active Directory (WinRM/ADOP), Microsoft Entra ID
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| Global Connections Health Check | 41 | Scheduled (daily) | Other | IT/OT & network infra monitoring |
8. Retail Workforce Training Provisioning
Description: Daily overnight sync of retail employee training data from Snowflake, automating access provisioning for a retail brand subsidiary. Runs at 00:45 UTC to ensure records are current at the start of each business day.
Business problem: Retail training access for a subsidiary brand requires daily reconciliation between HR data (Snowflake) and access systems, a task that is repetitive and operationally low-value when performed manually.
Integrations: Snowflake
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| Lilly Pulitzer Retail Training | 41 | Scheduled (daily) | Other | SaaS / IT administration |
9. Employee Onboarding — Full Lifecycle
Description: End-to-end joiner automation now live in production, spanning Ranger contractor sourcing (hourly polling plus on-prem/cloud account creation and password generation), Workday/Snowflake new-hire intake, and a dual-brand (Oxford / Tommy Bahama) full-employee joiner with Active Directory/Entra ID provisioning, OU mapping, and Jira-tracked fulfillment. Data reconciliation utilities (Employee Lookup, Backfill variants) support historical and ad-hoc hire record correction, and a web-form intake pathway exists in development for manual ad-hoc joiner requests.
Business problem: Onboarding previously lacked a production pathway for full employees and Ranger-sourced contractors, creating delays and inconsistent day-one access across two brands and multiple hiring sources (Workday, Ranger). This pipeline automates account creation, password generation, OU placement, and Jira-tracked fulfillment consistently across both brands and sourcing systems.
Integrations: Microsoft Entra ID, Active Directory (WinRM), Snowflake, Ranger API, Jira, Blink Tables, Python, PowerShell
Production Workspace
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| Sync | 1,986 | On demand (subflow) | IAM | Employee onboarding, Identity sync & directory mgmt |
| 000 IAM Joiner Ranger | 963 | Scheduled (hourly) | IAM | Employee onboarding, Identity sync & directory mgmt |
| Ranger | 40 | Scheduled (daily) | IAM | Employee onboarding, Identity sync & directory mgmt |
| 001 IAM Joiner Ranger | 33 | On demand (subflow) | IAM | Employee onboarding, Password & credential lifecycle |
| IAM Joiner | 18 | On demand | IAM | Employee onboarding, Identity lifecycle automation |
| Tommy Bahama Onboarding | 24 | On demand | IAM | Employee onboarding, Identity lifecycle automation |
| IAM Joiner Legacy TB | 17 | On demand (subflow) | IAM | Employee onboarding, Identity lifecycle automation |
| Employee Lookup | 5 | On demand (subflow) | IAM | Employee onboarding, Identity sync & directory mgmt |
| IAM Joiner Workday | 0 | On demand | IAM | Employee onboarding, Identity sync & directory mgmt |
| Backfill | 0 | On demand | IAM | Employee onboarding, Identity sync & directory mgmt |
| Backfills | 0 | On demand | IAM | Employee onboarding, Identity sync & directory mgmt |
| BackfillNewHire | 0 | On demand | IAM | Employee onboarding, Identity sync & directory mgmt |
| BackfillNewHIres | 0 | On demand | IAM | Employee onboarding, Identity sync & directory mgmt |
Development Workspace
| Playbook | Executions (12mo) | Automation Type | Category | Subcategories |
|---|---|---|---|---|
| Ad Hoc Joiner Legacy | 29 | Event (web form) | IAM | Employee onboarding, Identity lifecycle automation |
| Ad Hoc Joiner | 0 | Event (web form) | IAM | Employee onboarding, Identity lifecycle automation |
Key Observations
Strengths
- High-volume SOC automation at scale: The SentinelOne + Expel pipeline processes ~23,000 events per year on a 5-minute polling interval. This represents the highest-volume use case by a wide margin and eliminates what would otherwise be thousands of manual alert-triage decisions annually.
- Deep, multi-system offboarding pipeline: Employee offboarding spans 8 systems including Delinea PAM for privileged account revocation, two Manhattan supply chain platforms, and core enterprise tools (Celigo, Matillion, DataDog, Looker). The combination of automated HR triggers (Workday via Snowflake, Ranger API) and a manual web-form pathway for ad-hoc cases ensures complete coverage across all departure types.
- Data-first IAM architecture: Snowflake serves as the authoritative data layer for user metadata sync, termination detection, and high-value target tracking — making the IAM pipeline data-driven rather than solely event-driven.
- Operational resilience built in: Daily connection health checks and IAM health check playbooks indicate a mature approach to automation monitoring and failure detection rather than reactive debugging.
- Full employee onboarding now in production: The previously dev-only joiner gap has closed. A new production pipeline provisions accounts for both Oxford and Tommy Bahama brands, syncs Ranger contractor and Workday new-hire identities (1,986 executions), and drives Jira-tracked, OU-mapped Active Directory/Entra ID provisioning — delivering the symmetric onboarding/offboarding coverage previously missing.
Gaps / Opportunities
- Onboarding pipeline has duplicate/near-duplicate utilities: Four zero-execution backfill playbooks (Backfill, Backfills, BackfillNewHire, BackfillNewHIres) perform overlapping Snowflake reconciliation logic. Consolidating these would reduce clutter as the new onboarding pipeline matures.
- Vulnerability management is inactive: Rapid7 is integrated and a playbook exists in the production workspace, but it has 0 executions. The integration is deployed but no active automation is driving it.
- No GRC or compliance automation: There is no coverage for compliance monitoring, DLP, audit reporting, RBAC access review/certification, or regulatory controls. Given the depth of IAM investment, automated access certification campaigns are a natural next step.
- Cloud security scope is narrow: Entra credential monitoring and mobile access policy enforcement cover a small slice of cloud governance. No CSPM, cloud asset inventory, or broader configuration audit automation is present.
- 5 sandbox/test playbooks with 0 executions exist across three separate test workspaces (New Workflow, New Workflow 1, Sub Workflow, Parent Workflow, Workflow Version History Test) — these can be cleaned up to reduce workspace clutter.
Integration Ecosystem
| Domain | Integrations |
|---|---|
| EDR / MDR | SentinelOne, Expel |
| Identity & Directory | Microsoft Entra ID, Active Directory (WinRM/ADOP), Exchange Online, Delinea (PAM) |
| ITSM | ServiceNow, Jira |
| Data / HR | Snowflake, Workday (via Snowflake), Ranger API |
| Business Applications | Celigo, Matillion, DataDog, Looker, Manhattan Active Omni, Manhattan Active Warehouse Management |
| Scripting / Compute | Python, PowerShell, WinRM |
E New Integrations (detail) 10 added in last 30d
New Integrations Added - Last 30 Days
| Tenant | Integration | Connection Name | Added |
|---|---|---|---|
| oxford | snowflake | snowflake | 2026-08-19 |
| oxford | winrm | active_directory_hk | 2026-08-17 |
| oxford | winrm | active_directory_stide | 2026-08-17 |
| oxford | atlassian-organizations | unscoped_atlassian_org_admin | 2026-08-17 |
| oxford | winrm | active_directory_oxford_dmz | 2026-08-17 |
| oxford | winrm | active_directory_shirtings | 2026-08-17 |
| oxford | winrm | active_directory_oxford_corporate | 2026-08-17 |
| oxford | winrm | active_directory_oxford_root | 2026-08-17 |
| oxford | winrm | active_directory_retail_tbahama | 2026-08-17 |
| oxford | winrm | active_directory_lillypulitzer | 2026-08-17 |