Security & Privacy / Security Information and Event Management (SIEM) Software

Microsoft Sentinel Review, Pricing, Pros & Cons

Microsoft Sentinel is a cloud-native SIEM and security operations platform for collecting, detecting, investigating, hunting, and responding across Microsoft and third-party environments.

Research by Global Tool Radar Research SystemEvidence checked: Aug 10, 2026AI-assisted · No Global Tool Radar hands-on testView research methodology

Buying snapshot

Quick buying snapshot

A compact view of who this tool fits, what it costs, and what to confirm before choosing it.

Best for
  • The organization needs a cloud-native SIEM spanning Microsoft and non-Microsoft data across multicloud and multiplatform environments: Microsoft documents more than 350 connectors, custom integration options, ASIM normalization, and unified Defender-portal security operations.
  • The SOC values native integration with Microsoft Defender, Entra, Azure, and Microsoft 365 while retaining third-party connectivity: Sentinel combines native Microsoft integrations with packaged, common-format, REST, Syslog, and custom connectors.
Not for
  • The buyer requires an on-premises SIEM deployment rather than a managed cloud service: Microsoft Sentinel is a cloud-native service; hybrid and on-premises sources connect into the cloud platform rather than hosting Sentinel on premises.
  • The organization cannot govern variable ingestion, retention, query, automation, and adjacent Azure costs: The billing model contains multiple usage meters and separately charged services rather than a fixed all-inclusive subscription.
Pricing
  • Consumption pricing across analytics ingestion, commitment capacity, data-lake meters, retention, queries, compute, graph operations, and adjacent Azure services
  • Paid amounts unverified — check official pricing
Free or trial access
  • New eligible workspaces receive up to 10 GB per day of Analytics logs at no charge for 31 days, subject to a 20-workspace tenant limit; automation, bring-your-own machine learning, and data-lake charges can still apply.

Product scope

Product functionality and purchase scope

This profile evaluates Microsoft Sentinel's cloud-native SIEM and built-in security-platform capabilities, including analytics and data-lake tiers operated through the Microsoft Defender portal.

Product checked: Aug 10, 2026

Functionality reviewed
  • Microsoft Sentinel SIEM
  • Microsoft Sentinel analytics tier
  • Microsoft Sentinel data lake tier
  • Built-in analytics, investigation, hunting, incidents, automation rules, and playbooks
  • Sentinel graph and MCP capabilities where documented as part of the current platform
Non-target functionality excluded from scoring
  • Microsoft Defender XDR licenses and endpoint, identity, email, or application protection products
  • Microsoft Security Copilot entitlements and excess Security Compute Units
  • Azure Logic Apps, Azure Functions, Azure Machine Learning, and notebooks as separately metered Azure services
  • Third-party connector, partner, and managed-service fees
  • Microsoft Purview and Defender products integrated into the same portal

Pricing plans

Microsoft Sentinel pricing table

Pricing checked: Aug 10, 2026

Official factConfidence 100%1 linked source

Microsoft Sentinel is not a per-seat subscription. Buyers must model data volume, tier, retention, query, automation, compute, and connected Azure services. Numeric offers are withheld because the current captured pricing table did not expose reliable localized amounts.

Official pricing page
Pricing cautions
  • No universal starting amount: Prices vary by region, data tier, ingestion, storage, query, compute, and purchase model; the captured page did not expose reliable localized amounts.
  • Related Azure services can add cost: Logic Apps, Functions, notebooks, machine learning, graph operations, Security Copilot usage, and partner services can create additional meters.
  • Commitment tier is not freely reducible every day: Microsoft permits an increase at any time but requires 31 days before reducing or leaving a selected commitment tier.
PlanPriceKey differencesBest for
Analytics Pay-As-You-GoMicrosoft Sentinel analytics tier pay-as-you-goSupporting pricing evidenceAmount unverified — check official pricing
  • Data-volume billing: Actual data volume; Analytics pay-as-you-go tier.
Workloads requiring full analytics, alerts, and flexible consumption without reserving a daily commitment tier.
Analytics Commitment TiersMicrosoft Sentinel analytics commitment tiersSupporting pricing evidenceAmount unverified — check official pricing
  • Minimum tier and reduction interval: 100 GB per day; lowering permitted after 31 days daily data commitment; Selected commitment tier.
Predictable, sustained Analytics ingestion beginning at 100 GB per day where a reserved daily tier lowers the effective unit cost.
Data Lake TierMicrosoft Sentinel data lake tierSupporting pricing evidenceAmount unverified — check official pricing
  • Data-lake usage meters: Ingestion, processing, storage, queries, and advanced compute; Data lake tier and selected capabilities.
High-volume or historical security data requiring lower-cost retention and asynchronous KQL exploration rather than continuous alerting on every table.

Plan upgrade triggers

Verified plan boundaries that can change the required edition.

Analytics Pay-As-You-Go Analytics Commitment Tiers

Sustained daily analytics ingestion makes a commitment tier more predictable and cost-efficient than pay-as-you-go.

Supporting pricing evidence
Analytics Tier Data Lake Tier

Secondary or historical security data needs lower-cost storage and does not require continuous analytics alerts or unrestricted interactive queries.

Supporting pricing evidence
What is included, connected, or sold separately

Product scope

What is included, connected, or sold separately

Material capabilities are separated by their verified relationship to the target product.

Endpoint, identity, email, and application XDR protectionRelationship not verified

Defender XDR is natively integrated with Sentinel in the Defender portal but remains a separate product suite and licensing route.

Microsoft Defender XDR
Generative AI security assistanceRelationship not verified

Sentinel integrates Security Copilot experiences, but entitlements and excess Security Compute Units remain separately governed.

Microsoft Security Copilot
Workflow execution for Sentinel playbooksRelationship not verified

Sentinel provides automation rules and playbook integration, while Logic Apps workflow execution is separately metered.

Azure Logic Apps
How the score is calculated

Scoring method

How the score is calculated

The score uses the category-specific buying dimensions below and their displayed weights.

This page is based on public product information, official sources, structured feature data, and multi-model AI evaluation. It is not a hands-on lab test unless explicitly stated. Confidence percentages describe our research indicators, not the probability that a claim is true or a measured accuracy rate.

Evidence confidence
76%
AI claim confidence
100%
Required-field evidence status
100%
Evidence freshness
54%
Field traceability
100%
Model agreement
96%
Why this confidence level
  • Evidence confidence uses source level and claim-to-source support; AI claim confidence is shown separately.
  • Required-field evidence status measures whether weighted required claims have evidence links; it does not mean every product behavior was independently verified.
  • 8 of 8 weighted claims have evidence links.
  • 0 A1 documentary official sources and 6 A2 official product sources are linked.
  • 2 independent review sources are retained, including 0 professional sources with an explicit hands-on method.
  • 4 weighted claims are past the review window.
  • No blocking evidence conflict was identified.
Detection and correlation quality19%
84

Threat intelligence, UEBA, anomalies, analytics rules, and MITRE ATT&CK mapping support detection quality, but the facts do not establish guaranteed detection coverage for every environment or content package.

Investigation and threat hunting17%
87

Entity investigation, timelines, notebooks, proactive hunting, and KQL search directly support analyst-led investigation and hunting, while the score stops short of 100 because operational effectiveness still depends on team skill.

Data collection and context16%
88

More than 350 connectors, custom connectors, Syslog, REST APIs, and common formats support collecting diverse security data into the platform, and ASIM normalization strengthens downstream context handling.

Response and security operations14%
83

Incident management, automation rules, and Logic Apps-based playbooks support response operations, but the facts do not establish fully autonomous response or uniform workflow maturity across every integration.

Scale, retention, and performance14%
84

Analytics tiers for continuous analysis plus a data-lake tier for lower-cost historical retention let buyers scale volume and keep long-term security data without treating every table as always-on alerting storage.

Deployment, support, and total cost10%
65

Avoids per-seat license minimums, but consumption-based pricing across compute, storage, and adjacent services creates operational complexity and budget uncertainty.

Integrations and detection content10%
89

Provides a vast library of first- and third-party connectors and native integration with Defender XDR, centralizing security telemetry across multicloud and on-premises logs.

Public review signals

Microsoft Sentinel has strong exact-product ratings across two public platforms

G2 and TrustRadius show favorable aggregate ratings for Microsoft Sentinel, while public reviewer themes also emphasize licensing complexity and the cost of ingestion and retention.

Public review signals updated: Aug 10, 2026

G24.4/5
Review count
293 reviews
Source context
Microsoft Sentinel on G2Exact product
View sourceHistory baseline established: Aug 10, 2026
TrustRadius8.6/10
Reviews and ratings
156 reviews and ratings
Source context
Microsoft Sentinel on TrustRadiusExact product
View sourceHistory baseline established: Aug 10, 2026
Score84
Pricing modelConsumption pricing across analytics ingestion, commitment capacity, data-lake meters, retention, queries, compute, graph operations, and adjacent Azure services
Use casedeploy a cloud-native SIEM for security data collection, analytics, threat hunting, and automated response
Company sizeEnterprise, Mid-market
Structured tags

Microsoft Sentinel tag profile

Company size
  • Enterprise
  • Mid-market
Key features

Microsoft Sentinel core capabilities

  • More than 350 first- and third-party data connectors with custom integration options
  • ASIM normalization at ingestion and query time
  • Analytics rules, threat intelligence, UEBA, anomalies, and MITRE ATT&CK mapping
  • KQL search, entity investigation, timelines, notebooks, and proactive hunting
  • Incident management, automation rules, and Logic Apps-based playbooks
  • Analytics and data-lake tiers with long-term security-data retention options
Detailed strengths and purchase cautions
Pros

Why it is worth considering

  • The platform supports more than 350 first- and third-party connectors with custom integration options, which can reduce the need to build separate ingestion paths for mixed environments.
  • ASIM normalization at ingestion and query time supports standardized event handling for teams that want to normalize security data before detection and investigation.
  • The platform includes analytics rules, threat intelligence, UEBA, anomalies, MITRE ATT&CK mapping, incident management, automation rules, Logic Apps-based playbooks, KQL search, entity investigation, timelines, notebooks, and proactive hunting, which supports a full security operations workflow in one product.
  • The data-lake tier provides long-term security-data retention options and asynchronous KQL exploration, which can help teams separate historical analysis from active alerting use cases.
Cons

What to confirm before buying

  • Pricing is consumption based across ingestion, retention, queries, compute, graph operations, and adjacent Azure services, so procurement and cost control require ongoing modeling rather than a single subscription check.
  • Commitment tiers require at least 31 days before reduction or exit, which reduces flexibility for teams that expect frequent sizing changes.
  • KQL, connector architecture, detection tuning, and multi-workspace governance require specialist skills, so the product is not a simple turn-on-and-go SIEM for every team.
  • The Azure portal experience retires after March 31, 2027 in favor of the Microsoft Defender portal, so buyers should confirm their operating model aligns with the destination UI.
Cross-model buying perspectives

Multi-AI review

Cross-model buying perspectives

Multiple AI models assess this tool against the same buying criteria, so you can compare scores, confidence, fit, cautions, and final views.

AI assessment updated: Sep 21, 2026

Score comparisonGPTxAIGeminiRange
Detection and correlation quality8686806
Investigation and threat hunting8888853
Data collection and context9090855
Response and security operations8385805
Scale, retention, and performance8284853
Integrations and detection content9187904
Deployment, support, and total cost6664652
siem log ingestion normalization8890855
siem correlation detection quality8686806
siem search investigation speed8480804
siem compliance reporting readiness7268704
siem scale cost operability68726012
Where models differ
  • siem scale cost operability: 60–72 (12-point range)
  • Detection and correlation quality: 80–86 (6-point range)
  • siem correlation detection quality: 80–86 (6-point range)
GPTAI-assisted buyer perspective82

Microsoft Sentinel is a fit for SOCs that want cloud SIEM coverage across Microsoft and third-party sources and can work with consumption pricing, KQL, and Azure-linked operations; it is a weaker fit for buyers that need on-prem deployment or a fixed per-seat commercial model.

Review confidence
82/100
Model details
Strengths
  • The platform supports more than 350 first- and third-party connectors with custom integration options, which can reduce the need to build separate ingestion paths for mixed environments.
  • ASIM normalization at ingestion and query time supports standardized event handling for teams that want to normalize security data before detection and investigation.
  • The platform includes analytics rules, threat intelligence, UEBA, anomalies, MITRE ATT&CK mapping, incident management, automation rules, Logic Apps-based playbooks, KQL search, entity investigation, timelines, notebooks, and proactive hunting, which supports a full security operations workflow in one product.
  • The data-lake tier provides long-term security-data retention options and asynchronous KQL exploration, which can help teams separate historical analysis from active alerting use cases.
Cautions
  • Pricing is consumption based across ingestion, retention, queries, compute, graph operations, and adjacent Azure services, so procurement and cost control require ongoing modeling rather than a single subscription check.
  • Commitment tiers require at least 31 days before reduction or exit, which reduces flexibility for teams that expect frequent sizing changes.
  • KQL, connector architecture, detection tuning, and multi-workspace governance require specialist skills, so the product is not a simple turn-on-and-go SIEM for every team.
  • The Azure portal experience retires after March 31, 2027 in favor of the Microsoft Defender portal, so buyers should confirm their operating model aligns with the destination UI.
xAIAI-assisted buyer perspective82

Cloud-native SIEM for Microsoft-centric and multicloud SOCs that can run KQL-based detection and govern multi-meter consumption across analytics and data-lake tiers.

Review confidence
82/100
Model details
Strengths
  • More than 350 first- and third-party connectors plus custom options let teams ingest Microsoft and non-Microsoft sources with ASIM normalization at ingestion and query time.
  • Analytics rules, threat intelligence, UEBA, anomalies, and MITRE ATT&CK mapping support correlation and detection content engineering.
  • KQL search, entity investigation, timelines, notebooks, proactive hunting, and AI-assisted investigation support analyst workflows.
  • Incident management, automation rules, and Logic Apps playbooks enable response operations alongside native Defender portal and Defender XDR integration.
Cautions
  • Pricing is consumption-based across analytics ingestion, commitment capacity, data-lake meters, retention, queries, compute, graph operations, and adjacent Azure services, with no fixed per-seat amount.
  • Analytics commitment tiers begin at 100 GB per day and allow reduction or exit only after 31 days on the selected tier.
  • Effective use depends on specialist capacity for KQL, connector architecture, detection tuning, automation, and multi-workspace cost governance.
  • The product is positioned as a managed cloud SIEM and does not support an on-premises SIEM deployment model.
GeminiAI-assisted buyer perspective79

A consumption-based, cloud-native SIEM well-suited for Microsoft-centric security operations centers, provided the team can manage complex usage-based pricing meters and possesses KQL-based engineering expertise.

Review confidence
79/100
Model details
Strengths
  • Offers extensive integration with Microsoft Defender XDR alongside more than 350 first- and third-party data connectors.
  • Supports standard ASIM normalization at both ingestion and query time to unify diverse security logs.
  • Provides tiered data retention options, allowing enterprises to separate active Analytics logs from lower-cost historical Data Lake storage.
Cautions
  • Features a complex consumption pricing model with multiple separate charges for data ingestion, retention, queries, and adjacent services.
  • Requires specialized engineering skills to configure custom connector architectures, tune detections, and write KQL queries.
  • Imposes a 31-day minimum commitment duration before users are allowed to reduce or exit a selected commitment tier.

Research transparency

How this page was researched

A compact record of the evidence used, what was not tested, and which conclusions still need verification.

Official sources
6
Broad product review sources
2
Marketplace and app-store sources
0
Editorial sources
0
Latest evidence check
Aug 10, 2026
Research basis

Global Tool Radar generated this assessment from structured facts linked to public sources. No Global Tool Radar hands-on test is recorded in this page's research data. Any external hands-on assessment is identified separately and does not affect the Global Tool Radar score.

Conflict handling

No unresolved evidence conflict is currently recorded.

View research methodology
Verified findingsNew eligible workspaces receive up to 10 GB per day of Analytics logs at no charge for 31 days, subject to a 20-workspace tenant limit; automation, bring-your-own machine learning, and data-lake charges can still apply.
  • Consumption pricing across analytics ingestion, commitment capacity, data-lake meters, retention, queries, compute, graph operations, and adjacent Azure services
  • No single universal starting amount is retained because official prices are region- and meter-dependent and the captured public page did not expose reliable localized amounts.
  • Microsoft Sentinel is not a per-seat subscription. Buyers must model data volume, tier, retention, query, automation, compute, and connected Azure services. Numeric offers are withheld because the current captured pricing table did not expose reliable localized amounts.
  • More than 350 first- and third-party data connectors with custom integration options ASIM normalization at ingestion and query time Analytics rules, threat intelligence, UEBA, anomalies, and MITRE ATT&CK mapping KQL search, entity investigation, timelines, notebooks, and proactive hunting Incident management, automation rules, and Logic Apps-based playbooks Analytics and data-lake tiers with long-term security-data retention options Native Microsoft Defender portal and Defender XDR integration Security graph, MCP tools, Security Store content, and AI-assisted investigation
Verification notes and unresolved itemsOfficial sources establish the current Microsoft Sentinel identity, cloud-native scope, analytics and data-lake pricing models, trial, and 31-day commitment-tier rule.
  • Numeric localized prices are withheld because the captured public pricing table did not expose them reliably.
  • Defender XDR, Security Copilot, Logic Apps, Functions, notebooks, and partner services remain separately scoped.
Sources checked

Sources checked

Microsoft Sentinel source links

FAQ

Microsoft Sentinel FAQ

How is Microsoft Sentinel priced?

It uses consumption pricing across analytics data, commitment tiers, data-lake meters, retention, queries, compute, and related Azure services rather than a per-seat subscription.

What does the Microsoft Sentinel trial include?

For eligible new workspaces, up to 10 GB per day of Analytics logs is free for 31 days, subject to a 20-workspace tenant limit; automation, bring-your-own machine learning, and data-lake charges are excluded.

Is Microsoft Sentinel limited to Microsoft data?

No. Microsoft documents more than 350 connectors plus common formats, Syslog, REST APIs, and custom connectors for multicloud and third-party sources.

Is Microsoft Defender XDR included in this profile?

No. Sentinel integrates with Defender XDR in the same portal, but Defender product licenses and endpoint, identity, email, and application protection remain separate.

Popular comparisons

Common Microsoft Sentinel comparisons

Only high-scoring and nearby tools from the same subcategory are shown, avoiding comparisons between unrelated use cases.