Complete Feature Mapping: Splunk to Microsoft Sentinel
Status: Authored 2026-04-30 Audience: Security Architects, SOC Engineers, Detection Engineers, Platform Engineers Purpose: Comprehensive feature-by-feature mapping from Splunk to Microsoft Sentinel with CSA-in-a-Box integration points
How to use this document
This document maps 50+ Splunk features to their Microsoft Sentinel equivalents. Each mapping includes:
- Splunk feature -- what it does in Splunk
- Sentinel equivalent -- the corresponding Sentinel/Azure capability
- Migration complexity -- effort required (XS/S/M/L/XL)
- Notes -- key differences, gotchas, and CSA-in-a-Box integration points
1. Query languages
SPL vs KQL
| Concept | SPL (Splunk) | KQL (Sentinel / Log Analytics) | Notes |
| Basic search | search index=main error | SecurityEvent \| where EventData contains "error" | KQL is pipe-forward like SPL; tables replace indexes |
| Field extraction | \| rex field=_raw "user=(?<username>\w+)" | \| extend username = extract("user=(\\w+)", 1, RawData) | KQL uses extract() with regex groups |
| Statistics | \| stats count by src_ip | \| summarize count() by SrcIP | stats maps to summarize |
| Time chart | \| timechart span=1h count by status | \| summarize count() by bin(TimeGenerated, 1h), Status | timechart maps to summarize + bin() |
| Conditional | \| eval risk=if(count>10,"high","low") | \| extend risk = iff(count_ > 10, "high", "low") | eval maps to extend; if() maps to iff() |
| Where clause | \| where count > 5 | \| where count_ > 5 | Nearly identical syntax |
| Sort | \| sort -count | \| sort by count_ desc | KQL uses explicit asc/desc |
| Head/limit | \| head 10 | \| take 10 or \| top 10 by field | head maps to take |
| Dedup | \| dedup src_ip | \| distinct SrcIP or \| summarize take_any(*) by SrcIP | Use distinct for simple dedup |
| Rename | \| rename src_ip AS SourceIP | \| project-rename SourceIP = SrcIP | rename maps to project-rename |
| Table | \| table src_ip, dest_ip, action | \| project SrcIP, DstIP, Action | table maps to project |
| Lookup | \| lookup threat_intel ip AS src_ip | \| join kind=leftouter (ThreatIntelligenceIndicator) on $left.SrcIP == $right.NetworkIP | Lookups map to join or externaldata |
| Transaction | \| transaction session_id maxspan=30m | \| summarize makelist(EventID), ... by session_id, bin(TimeGenerated, 30m) | No direct equivalent; use summarize with aggregations |
| Subsearch | [search index=threats \| fields ip] | let threats = ThreatIntel \| project IP; MainTable \| where SrcIP in (threats) | Use let statements for subqueries |
| Macro | `my_macro(param)` | Functions in Log Analytics | Create saved functions for reusable query patterns |
| Eventtypes | eventtype=authentication | Saved queries or functions | No direct equivalent; use functions or workbook parameters |
| Tags | tag=network | Custom fields via DCR transforms | Tags map to custom columns added at ingestion |
| Calculated field | \| eval duration=end_time-start_time | \| extend duration = EndTime - StartTime | eval maps to extend |
| Multivalue | \| mvexpand field | \| mv-expand field | Nearly identical |
| String functions | \| eval lower_user=lower(user) | \| extend lower_user = tolower(user) | Function names differ slightly |
| Time functions | \| eval hour=strftime(_time, "%H") | \| extend hour = datetime_part("hour", TimeGenerated) | Different function names and syntax |
Advanced SPL to KQL patterns
| SPL pattern | KQL equivalent | Complexity |
\| tstats count where index=main by sourcetype | union * \| summarize count() by Type | M |
\| datamodel Authentication \| search ... | SigninLogs \| where ... | S (data models map to specific tables) |
\| inputlookup my_list.csv | externaldata(col1:string, col2:string) [@"https://storage.blob.core.windows.net/lookups/my_list.csv"] with (format="csv") | M |
\| map search="search index=main src_ip=$ip$" | let ips = ...; SecurityEvent \| where SrcIP in (ips) | M |
\| appendcols [search ...] | \| join kind=inner (subquery) on key | M |
\| fillnull value=0 | \| extend field = coalesce(field, 0) | XS |
\| bucket span=1h _time | \| summarize by bin(TimeGenerated, 1h) | XS |
2. Data storage and management
| Splunk feature | Sentinel/Azure equivalent | Migration complexity | Notes |
| Indexes | Log Analytics tables / custom tables | M | Each Splunk index maps to one or more Log Analytics tables. Built-in tables (SecurityEvent, Syslog, etc.) have pre-defined schemas. Custom logs use custom tables. |
| Sourcetypes | Table name + Data Collection Rules | S | Sourcetypes are implicit in Sentinel -- each connector writes to specific tables. DCRs handle transformation. |
| Hot/Warm buckets | Analytics Logs (interactive tier) | XS | No manual tier management -- all interactive data is hot. |
| Cold buckets | Basic Logs tier | S | High-volume, infrequently queried data at 60-75% cost reduction. |
| Frozen buckets | Archive tier | S | Near-zero cost storage. Restore to interactive on demand (search job). |
| Data models | Table schemas + watchlists | M | Splunk data models map to pre-defined table schemas. Custom data models require custom tables. |
| Lookups | Watchlists / externaldata / enrichment | M | Watchlists for frequently used reference data. externaldata for larger datasets. Enrichment via Logic Apps for dynamic lookups. |
| Summary indexing | Summarize rules / ADX materialized views | M | Pre-computed aggregations can be scheduled as analytics rules writing to custom tables, or materialized in ADX. |
| Event forwarding | Data export rules / Event Hub integration | S | Log Analytics data export to Event Hub, Storage, or ADX for downstream processing. |
| Index-time field extraction | Data Collection Rule transforms | M | DCRs support KQL-based transformation at ingestion time. |
| Search-time field extraction | KQL at query time | XS | KQL extract, parse, extend at query time. |
| Data retention policies | Log Analytics retention settings | XS | Per-table retention from 30 days to 12 years. Archive tier for extended retention. |
| License usage tracking | Azure Cost Management + Usage table | S | Usage table in Log Analytics tracks ingestion per table. Azure Cost Management for billing. |
3. Detection and alerting
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Correlation searches (ES) | Analytics rules (scheduled) | M | SPL correlation searches translate to KQL analytics rules. SIEM Migration Experience automates this. |
| Notable events (ES) | Incidents | S | Notables become incidents with severity, entities, and evidence. |
| Risk-based alerting (ES) | Analytics rules + entity behavior | M | Sentinel UEBA provides entity risk scoring. Custom risk rules via analytics. |
| Adaptive response actions (ES) | Automation rules + playbooks | M | Automation rules trigger playbooks (Logic Apps) on incident creation. |
| Threat intelligence framework (ES) | Threat Intelligence blade | S | Native TI connector supports STIX/TAXII, Microsoft TI, MISP. |
| MITRE ATT&CK mapping (ES) | MITRE ATT&CK blade in Sentinel | XS | Native MITRE ATT&CK coverage visualization. |
| Scheduled searches | Analytics rules (scheduled) | S | Direct mapping. KQL query runs on schedule, generates alerts/incidents. |
| Real-time searches | Near-real-time (NRT) analytics rules | S | NRT rules run every minute with minimal latency. |
| Alerts | Analytics rules | S | All alert types map to analytics rules with configurable severity and entity mapping. |
| Alert actions | Automation rules | S | Automation rules execute on alert/incident creation -- assign, tag, run playbook, suppress. |
| Throttling | Alert grouping + suppression | S | Sentinel supports event grouping and suppression windows. |
| Custom alert actions | Playbooks (Logic Apps) | M | Custom actions become Logic App workflows triggered by automation rules. |
4. Security operations
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Splunk Enterprise Security (ES) | Microsoft Sentinel | L | ES is a premium Splunk app; Sentinel is the base platform with all SIEM capabilities included. |
| ES Security Posture dashboard | Sentinel Overview + workbooks | M | Pre-built Sentinel workbooks provide similar posture views. Custom workbooks for SOC-specific views. |
| ES Incident Review | Sentinel Incidents blade | S | Incidents with investigation graph, entity timeline, and evidence. |
| ES Investigation workbench | Investigation graph + entity pages | M | Sentinel's investigation graph provides entity-centric investigation. |
| ES Asset & Identity framework | UEBA + watchlists | M | UEBA provides entity behavior analytics. Watchlists for asset/identity enrichment. |
| ES Threat Intelligence | Threat Intelligence blade | S | Native TI management with STIX/TAXII support. |
| ES Risk framework | UEBA anomaly scores | M | UEBA calculates anomaly scores per entity. Custom risk scoring via analytics rules. |
| ES Content Management | Content Hub | S | Content Hub solutions provide pre-built analytics rules, workbooks, playbooks, and connectors. |
| ES Use Case Library | Content Hub solutions catalog | S | Browse solutions by vendor, data source, or scenario. |
5. SOAR and automation
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Splunk SOAR platform | Playbooks (Logic Apps) + automation rules | L | SOAR is a separate Splunk product. Sentinel playbooks are built on Logic Apps -- included, no separate license. |
| SOAR playbooks | Logic App workflows | M | Each SOAR playbook maps to a Logic App. 500+ pre-built connectors available. |
| SOAR apps (integrations) | Logic App connectors | M | Most SOAR app integrations have Logic App connector equivalents. Custom connectors for niche integrations. |
| SOAR actions | Logic App actions | S | Individual actions (block IP, disable user, create ticket) map to Logic App connector actions. |
| SOAR prompts (human-in-loop) | Logic App approval workflows | M | Approval connectors for Teams, email, and custom prompts. |
| SOAR case management | Sentinel incident management | S | Incidents with assignment, comments, tasks, and evidence. |
| SOAR custom scripts | Azure Functions + Logic Apps | M | Custom Python/PowerShell scripts become Azure Functions called from Logic Apps. |
| SOAR workbooks | Sentinel workbooks for SOAR metrics | S | Custom workbooks tracking playbook execution, MTTR, automation coverage. |
| Automation frequency | Automation rule triggers | S | Automation rules trigger on incident creation, update, or alert creation. |
6. Data collection and forwarding
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Universal Forwarder (UF) | Azure Monitor Agent (AMA) | M | AMA replaces UF on Windows/Linux endpoints. Data Collection Rules control what is collected. |
| Heavy Forwarder (HF) | Log forwarder VM / Azure Functions | M | For syslog/CEF aggregation, deploy a log forwarder VM with AMA. For custom processing, use Azure Functions. |
| Deployment Server | Azure Arc / Intune / GPO | M | Agent deployment via Azure Arc (servers), Intune (endpoints), or GPO (domain-joined). |
| Syslog inputs | Syslog via AMA on Linux forwarder | S | AMA on Linux collects syslog. Syslog table in Log Analytics. |
| CEF inputs | CEF via AMA on Linux forwarder | S | AMA on Linux collects CEF. CommonSecurityLog table. |
| Windows Event Log | AMA Windows event collection | S | AMA collects Windows events via Data Collection Rules. SecurityEvent table. |
| HTTP Event Collector (HEC) | Data Collection API (DCR-based) | M | Log Analytics Data Collection API replaces HEC for custom data ingestion. |
| Scripted inputs | Azure Functions + Data Collection API | M | Custom data collection scripts become Azure Functions posting to Data Collection API. |
| Modular inputs | Logic Apps + Data Collection API | M | Modular inputs (API polling) map to Logic Apps or Azure Functions on a timer. |
| DB Connect | Logic App SQL connector / ADF | M | Database polling maps to Logic App SQL connector or ADF pipelines. |
| Splunk apps (data inputs) | Content Hub data connectors | S | Most Splunk app data inputs have equivalent Content Hub connectors. |
| S2S (Splunk-to-Splunk) | Workspace-to-workspace queries | S | Cross-workspace queries in KQL. Azure Lighthouse for multi-tenant. |
| Index-time parsing | Data Collection Rule transforms | M | DCR transforms support KQL-based parsing at ingestion time. |
7. Visualization and reporting
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Dashboards | Sentinel workbooks (Azure Monitor Workbooks) | M | Workbooks support KQL queries, parameters, visualizations, and drill-downs. |
| Dashboard panels | Workbook tiles / steps | S | Each Splunk panel maps to a workbook step with chart type selection. |
| Dashboard drilldowns | Workbook parameters + links | M | Workbook parameters enable dynamic filtering and drill-through. |
| Scheduled reports | Scheduled analytics rules + workbooks | S | Schedule queries to run and export results. |
| PDF/email reports | Logic App scheduled exports | M | Logic Apps can render workbooks to PDF and email on schedule. |
| Real-time dashboards | Workbooks with auto-refresh | S | Workbooks support auto-refresh intervals for near-real-time views. |
| Chart types | Workbook visualization types | S | Time series, bar, pie, map, grid, tile, and custom JSON chart types. |
| Dashboard tokens | Workbook parameters | M | Dashboard tokens map to workbook parameters with cascading filter support. |
| Dashboard XML | Workbook JSON (ARM template) | M | Workbooks are defined in JSON and can be deployed via ARM/Bicep. |
| Splunk Mobile | Azure mobile app + Power BI mobile | S | Power BI mobile app provides on-the-go dashboard access. |
CSA-in-a-Box visualization integration
| Visualization need | Sentinel workbooks | Power BI (via CSA-in-a-Box) | Best for |
| SOC operational dashboards | Primary | Secondary | Real-time SOC operations |
| Executive security reporting | Limited | Primary | Board-level, CISO reporting |
| Cross-domain analytics | No | Primary | Security + business data correlation |
| Compliance dashboards | Workbook templates | Primary | Audit and compliance reporting |
| Ad-hoc threat hunting | Primary (KQL) | No | Analyst investigation workflows |
8. Administration and management
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Splunk Web admin | Azure portal / Defender portal | S | Web-based administration through Azure portal and Microsoft Defender portal. |
| User roles | Azure RBAC + Sentinel roles | M | Built-in roles: Sentinel Reader, Responder, Contributor, Automation Contributor. Custom roles via Azure RBAC. |
| Knowledge objects | Saved queries, functions, watchlists | M | Macros become functions. Lookups become watchlists. Field aliases handled in DCRs. |
| Apps and add-ons | Content Hub solutions | S | Content Hub provides vendor-specific solutions with connectors, rules, workbooks, and playbooks. |
| Server classes | Data Collection Rules + Azure Policy | M | Server classes (forwarder grouping) map to DCR associations and Azure Policy-based agent deployment. |
| Cluster management | Azure-managed (no clusters) | XS | No infrastructure to manage. |
| License management | Azure Cost Management + commitment tiers | S | No license servers. Cost management through Azure Cost Management and commitment tiers. |
| Monitoring console | Azure Monitor + health diagnostics | S | Sentinel health and audit diagnostics. Azure Monitor for workspace health. |
| Configuration files | ARM/Bicep templates + API | M | Infrastructure as code via Bicep (CSA-in-a-Box pattern) or ARM templates. |
| Distributed search | Cross-workspace queries | S | KQL supports querying across multiple Log Analytics workspaces. |
9. Threat hunting
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Ad-hoc search | Log Analytics query editor | XS | Full KQL editor with IntelliSense. |
| Saved searches | Hunting queries | S | Saved queries organized by MITRE ATT&CK tactic. |
| Hunting dashboards (ES) | Hunting blade | S | Pre-built and custom hunting queries with bookmarks. |
| Investigation notebooks | Sentinel notebooks (Jupyter) | M | Jupyter notebooks with MSTICPy library for advanced investigation. |
| Bookmarks | Hunting bookmarks | XS | Bookmark evidence during hunting for later incident creation. |
| Threat intelligence correlation | TI matching analytics rules | S | Automatic correlation of indicators against all ingested data. |
| Anomaly detection | UEBA + anomaly analytics rules | M | Built-in ML-powered anomaly detection. |
10. Compliance and audit
| Splunk feature | Sentinel equivalent | CSA-in-a-Box integration | Notes |
| Splunk PCI Compliance | Sentinel PCI workbook | Purview PCI classifications | Content Hub PCI solution + CSA-in-a-Box PCI-DSS compliance matrix |
| Audit logging | Azure Activity + Sentinel audit | Tamper-evident audit logger | All workspace operations logged. CSA-in-a-Box adds hash-chained audit trail. |
| Data integrity | Azure storage integrity | Purview data quality | Azure storage provides immutable blob support. |
| Retention compliance | Per-table retention + archive | ADX long-term storage | Configurable retention per table. ADX for multi-year archive with full query capability. |
| Role-based access | Azure RBAC + table-level RBAC | Purview access governance | Fine-grained access control at workspace, table, and row level. |
| FedRAMP evidence | Azure compliance portal | CSA-in-a-Box NIST 800-53 matrix | Inherited from Azure Government authorization + CSA-in-a-Box control mappings. |
11. Integration and extensibility
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| REST API | Log Analytics API + Sentinel API | S | Full REST API for query, incident management, and configuration. |
| SDKs | Azure SDKs (Python, .NET, etc.) | S | Azure SDK supports all Sentinel operations programmatically. |
| Webhooks | Logic Apps HTTP triggers | S | Logic Apps provide webhook-based integration. |
| Custom commands | KQL functions + Azure Functions | M | Custom search commands become KQL saved functions or Azure Functions for complex processing. |
| Custom visualizations | Workbook custom JSON + Grafana | M | Workbooks support custom visualization via JSON. Grafana plugin for Azure Monitor available. |
| Splunkbase marketplace | Content Hub + GitHub | S | Content Hub is the marketplace. Community content on GitHub (Azure Sentinel repository). |
12. User Experience and AI
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Splunk AI Assistant | Security Copilot | XS | Copilot is more capable -- incident summarization, script analysis, report generation, not just query help |
| Splunk MLTK | UEBA + anomaly analytics rules | M | Built-in ML for entity behavior; custom ML via Jupyter notebooks + MSTICPy |
| Splunk UBA | UEBA (User Entity Behavior Analytics) | S | Native Sentinel feature; no separate add-on required |
| Splunk Augmented Reality | N/A | N/A | Niche feature with no Sentinel equivalent |
| Splunk Mission Control | Unified SOC experience in Defender portal | S | Defender portal provides unified incident queue across Defender XDR + Sentinel |
| Splunk Intelligence Management (TruSTAR) | Threat Intelligence blade | M | Native TI management with STIX/TAXII; Microsoft TI feed included |
| Splunk Asset & Risk Framework | UEBA + Watchlists + Defender vulnerability data | M | Combination of UEBA entity scoring and watchlist-based asset enrichment |
| Splunk Risk-Based Alerting | Analytics rules with entity risk scoring | M | Custom risk scoring via analytics rules writing to custom tables; UEBA anomaly scores |
| SPL Assistant (AI) | Security Copilot KQL generation | XS | Copilot generates KQL from natural language descriptions |
| Splunk Observability Cloud | Azure Monitor | M | Separate Azure service; integrated but not unified with Sentinel |
13. Deployment and operations
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Splunk Cloud (SaaS) | Microsoft Sentinel (cloud-native) | S | Both are cloud-managed; Sentinel has no infrastructure component |
| Splunk SmartStore | Log Analytics managed storage | XS | Azure manages all storage automatically |
| Indexer clustering | Azure-managed (no clusters) | XS | No equivalent needed; Sentinel auto-scales |
| Search head clustering | Azure-managed (no clusters) | XS | No equivalent needed; query capacity auto-scales |
| Splunk Operator (Kubernetes) | N/A (cloud-native) | XS | Sentinel does not require Kubernetes deployment |
| Splunk Data Stream Processor | Azure Stream Analytics / Event Hub | M | Real-time stream processing before ingestion |
| Splunk Ingest Actions | Data Collection Rule transforms | S | KQL-based ingestion-time transformation and routing |
| Splunk Data Manager | Data connectors + Content Hub | S | Guided data onboarding experience |
| Splunk Assist | Azure Advisor + Sentinel health | S | Platform health and optimization recommendations |
| Configuration replication | ARM/Bicep templates + Git | M | Infrastructure as code for all Sentinel configuration |
| Index replication | Azure zone-redundant storage | XS | Built into Azure infrastructure; no manual configuration |
| Bucket lifecycle | Automated retention policies | XS | Per-table retention; no manual bucket management |
14. Multi-tenant and MSSP
| Splunk feature | Sentinel equivalent | Migration complexity | Notes |
| Splunk multi-tenant (indexes) | Multi-workspace + Azure Lighthouse | M | Each tenant gets a workspace; Lighthouse provides cross-tenant management |
| Splunk Cloud Victoria | Azure Lighthouse + Defender multi-tenant | M | Cloud-native multi-tenant management |
| Index-level RBAC | Table-level RBAC + resource-context RBAC | M | Fine-grained access control at workspace, table, and resource level |
| Saved search sharing | Workbook sharing + analytics rule templates | S | Share across workspaces via Content Hub or ARM templates |
| Distributed search (federated) | Cross-workspace queries | S | workspace() function in KQL for cross-workspace queries |
| Search affinity | N/A (auto-optimized) | XS | Query routing handled automatically by Azure |
15. CSA-in-a-Box extended feature mapping
Features that Sentinel + CSA-in-a-Box together provide that neither Splunk nor Sentinel alone offers:
| Capability | Splunk alone | Sentinel alone | Sentinel + CSA-in-a-Box |
| Cross-domain security analytics | Limited (requires data onboarding) | SIEM data only | Fabric lakehouses combine security, HR, finance, IT asset data |
| Security data products | No | No | Published, governed data products with contracts and SLAs |
| Compliance-grade data governance | Manual classification | Manual | Purview classifications + machine-readable compliance matrices |
| Long-term hunting (years) | Cold/frozen (slow, expensive) | Archive tier (async search jobs) | ADX sub-second queries over years of data |
| Executive security reporting | Splunk dashboards | Sentinel workbooks | Power BI Direct Lake with natural language (Copilot) |
| Security data mesh | No | No | Security domain publishes governed products consumed by risk, compliance, audit |
| Tamper-evident audit trail | Splunk audit logs | Azure Activity logs | Hash-chained audit path (CSA-0016) |
| Data product contracts | No | No | YAML contracts with SLAs, freshness, availability targets |
| dbt-based security transforms | No | No | dbt models for curated security datasets (bronze/silver/gold) |
| Bicep-deployed SIEM | N/A (Ansible/Terraform) | ARM templates | Full Bicep IaC aligned with CSA-in-a-Box deployment patterns |
16. Feature gap analysis
Features where Splunk retains an advantage:
| Feature | Splunk advantage | Sentinel workaround | Severity |
| SPL ecosystem maturity | 20+ years of SPL queries, macros, and community content | KQL is growing rapidly; SIEM Migration Experience converts most SPL | Medium |
| On-premises deployment | Splunk Enterprise runs on-premises or air-gapped | Sentinel is cloud-only; Azure Stack Hub for disconnected scenarios | High (for specific use cases) |
| Unified observability | Splunk handles logs, metrics, traces, and security in one platform | Azure Monitor (observability) + Sentinel (security) are separate but integrated | Medium |
| Custom visualization depth | Splunk Dashboard Studio has rich custom visualization capabilities | Workbooks are functional but less visually customizable | Low |
| Splunk DB Connect | Native database connectivity for enrichment | Logic Apps SQL connector or ADF; slightly more setup | Low |
| IL6 support | Available in classified environments | Not available at IL6 | High (for classified workloads) |
Features where Sentinel has an advantage:
| Feature | Sentinel advantage | Splunk limitation |
| Security Copilot | Native AI assistant for hunting, triage, and KQL generation | No equivalent; Splunk AI Assistant is SPL-only |
| Free Microsoft data | M365, Entra, Defender XDR ingested at no cost | All data sources cost license capacity |
| SOAR included | Logic Apps are pay-per-execution, no separate license | SOAR is a separate \(100K-\)500K product |
| Infrastructure | Zero infrastructure management | Indexer clusters, search heads, forwarders |
| Defender XDR integration | Bi-directional incident sync, unified investigation | One-way data flow via add-on |
| Multi-tenant (MSSP) | Azure Lighthouse native multi-tenant | Complex multi-tenant architecture |
| UEBA | Built-in entity behavior analytics | Requires ES + UBA add-on |
Summary
This feature mapping demonstrates that Sentinel provides functional equivalents for the vast majority of Splunk capabilities, with significant advantages in cloud-native architecture, AI integration, cost model, and Microsoft ecosystem integration. The primary gaps are on-premises deployment and IL6 support.
CSA-in-a-Box extends Sentinel's capabilities in cross-domain analytics, compliance governance, executive reporting, and long-term data retention -- areas where neither Splunk nor Sentinel alone provides a complete solution.
Next steps:
Maintainers: csa-inabox core team Last updated: 2026-04-30