Detection as Code

Microsoft Sentinel vs Sigma and pySigma

Microsoft Sentinel totals 7.81 and Sigma and pySigma totals 5.50 on the 10 point detection-as-code rubric (sources read 2026-11-03 and 2026-11-04). Microsoft Sentinel leads by 2.31 points. The pair turns on rule health: Microsoft Sentinel documents it in full, and Sigma and pySigma publish nothing on it. Neither documents field drift alerts tied to rules.

The difference that decides this pair

The largest weighted gap on the rubric is rule health: Microsoft Sentinel scores 9.0 against 2.0 for Sigma and pySigma, which is 1.26 of the 10 point total.

For rule health, Microsoft Sentinel logs run status and failure reasons in the SentinelHealth table and exposes auto-disabled scheduled rules by query, whereas Sigma and pySigma are a rule format and converter with no runtime, so there is no health signal to document. learn.microsoft.com read 2026-11-03 github.com read 2026-11-03

Rubric side by side

Microsoft Sentinel totals 7.81 and Sigma and pySigma totals 5.50 out of 10.

Rubric criteria for Microsoft Sentinel and Sigma and pySigma, scores out of 10. A plus marks a criterion where Sigma and pySigma scores higher, a minus where Microsoft Sentinel does.

MarkerCriterionWeightMicrosoft SentinelSigma and pySigma
+Rule languages and conversion paths157.08.5
-Git-native workflow and CI/CD189.06.0
-Testing156.04.0
-Coverage analytics128.05.0
-Rule health189.02.0
-Versioning and rollback88.05.0
+Content library size and freshness86.08.0
Pricing transparency69.09.0
Total1007.815.50

The 33 capabilities as a diff

Read it as a diff from Microsoft Sentinel to Sigma and pySigma: 21 of 33 rows differ. A plus marks a row where Sigma and pySigma documents more (10 rows), a minus a row where Microsoft Sentinel documents more (11 rows). Rows with no marker match.

Capability rows for Microsoft Sentinel and Sigma and pySigma, grouped. Changed rows are shaded and carry a marker.

MarkerCapabilityMicrosoft SentinelSigma and pySigma
Languages
Sigma and pySigma documents moreSigma nativeMicrosoft Sentinel, Sigma native: not documentednot documentedSigma and pySigma, Sigma native: documenteddocumented
Sigma and pySigma documents moreSigma conversionMicrosoft Sentinel, Sigma conversion: not documentednot documentedSigma and pySigma, Sigma conversion: documenteddocumented
Sigma and pySigma documents moreYARA-LMicrosoft Sentinel, YARA-L: not documentednot documentedSigma and pySigma, YARA-L: partialpartial
Sigma and pySigma documents moreSPLMicrosoft Sentinel, SPL: not documentednot documentedSigma and pySigma, SPL: documenteddocumented
KQLMicrosoft Sentinel, KQL: documenteddocumentedSigma and pySigma, KQL: documenteddocumented
Sigma and pySigma documents moreEQL or ES|QLMicrosoft Sentinel, EQL or ES|QL: not documentednot documentedSigma and pySigma, EQL or ES|QL: documenteddocumented
PythonMicrosoft Sentinel, Python: not documentednot documentedSigma and pySigma, Python: not documentednot documented
Visual builderMicrosoft Sentinel, Visual builder: not documentednot documentedSigma and pySigma, Visual builder: not documentednot documented
YARAMicrosoft Sentinel, YARA: not documentednot documentedSigma and pySigma, YARA: not documentednot documented
Sigma and pySigma documents moreLucene or KQL-likeMicrosoft Sentinel, Lucene or KQL-like: not documentednot documentedSigma and pySigma, Lucene or KQL-like: documenteddocumented
Source control and CI
Microsoft Sentinel documents moreGit syncMicrosoft Sentinel, Git sync: documenteddocumentedSigma and pySigma, Git sync: not documentednot documented
Microsoft Sentinel documents morePR deployMicrosoft Sentinel, PR deploy: documenteddocumentedSigma and pySigma, PR deploy: not documentednot documented
Sigma and pySigma documents moreCLIMicrosoft Sentinel, CLI: not documentednot documentedSigma and pySigma, CLI: partialpartial
Microsoft Sentinel documents moreRule APIMicrosoft Sentinel, Rule API: documenteddocumentedSigma and pySigma, Rule API: not documentednot documented
Microsoft Sentinel documents moreCI examplesMicrosoft Sentinel, CI examples: documenteddocumentedSigma and pySigma, CI examples: partialpartial
Microsoft Sentinel documents moreEnv promotionMicrosoft Sentinel, Env promotion: partialpartialSigma and pySigma, Env promotion: not documentednot documented
Testing
Unit testsMicrosoft Sentinel, Unit tests: not documentednot documentedSigma and pySigma, Unit tests: not documentednot documented
Microsoft Sentinel documents moreReplayMicrosoft Sentinel, Replay: documenteddocumentedSigma and pySigma, Replay: not documentednot documented
Synthetic eventsMicrosoft Sentinel, Synthetic events: not documentednot documentedSigma and pySigma, Synthetic events: not documentednot documented
Backtest reportsMicrosoft Sentinel, Backtest reports: not documentednot documentedSigma and pySigma, Backtest reports: not documentednot documented
Test coverageMicrosoft Sentinel, Test coverage: not documentednot documentedSigma and pySigma, Test coverage: not documentednot documented
Coverage analytics
ATT&CK mapMicrosoft Sentinel, ATT&CK map: documenteddocumentedSigma and pySigma, ATT&CK map: documenteddocumented
Microsoft Sentinel documents moreGap viewMicrosoft Sentinel, Gap view: documenteddocumentedSigma and pySigma, Gap view: not documentednot documented
Microsoft Sentinel documents moreData sourcesMicrosoft Sentinel, Data sources: partialpartialSigma and pySigma, Data sources: not documentednot documented
Microsoft Sentinel documents moreLog source healthMicrosoft Sentinel, Log source health: partialpartialSigma and pySigma, Log source health: not documentednot documented
Rule health
Noisy rulesMicrosoft Sentinel, Noisy rules: not documentednot documentedSigma and pySigma, Noisy rules: not documentednot documented
Microsoft Sentinel documents moreBroken rulesMicrosoft Sentinel, Broken rules: documenteddocumentedSigma and pySigma, Broken rules: not documentednot documented
Field driftMicrosoft Sentinel, Field drift: not documentednot documentedSigma and pySigma, Field drift: not documentednot documented
Microsoft Sentinel documents moreRule costMicrosoft Sentinel, Rule cost: partialpartialSigma and pySigma, Rule cost: not documentednot documented
Sigma and pySigma documents moreLifecycleMicrosoft Sentinel, Lifecycle: not documentednot documentedSigma and pySigma, Lifecycle: documenteddocumented
Library
Sigma and pySigma documents moreLibrary countMicrosoft Sentinel, Library count: partialpartialSigma and pySigma, Library count: documenteddocumented
CommunityMicrosoft Sentinel, Community: documenteddocumentedSigma and pySigma, Community: documenteddocumented
Sigma and pySigma documents moreCadenceMicrosoft Sentinel, Cadence: not documentednot documentedSigma and pySigma, Cadence: partialpartial

documenteddocumentedpartialpartialnot documentednot documented

Sources for the rows that differ

Verdict by buyer type

Which of the two fits each kind of team.

BuyerVerdict
Microsoft Sentinel estateMicrosoft Sentinel is the better fit: it runs the estate natively and deploys rules from GitHub or Azure DevOps; Sigma and pySigma convert Sigma to KQL through its Kusto backend, listed as Stable.
Elastic estateSigma and pySigma is the better fit: they convert Sigma to Lucene, ES|QL and EQL through its Elasticsearch backend; Microsoft Sentinel documents no Elastic path.
Splunk estateSigma and pySigma is the better fit: they convert Sigma to SPL through its Splunk backend; Microsoft Sentinel documents no Splunk path.
Google SecOps estateSigma and pySigma is the only one of the pair with any stated route: they have a Google SecOps backend that its backend list marks as Development; Microsoft Sentinel documents no Google SecOps path.
a team starting from scratch with SigmaSigma and pySigma is the better fit: they are the format itself and converts it to Splunk, Kusto and Elasticsearch targets, with no runtime, tests or health checks; Microsoft Sentinel documents KQL and no Sigma path.

When to pick each

Microsoft Sentinel: Pick Microsoft Sentinel when testing is the deciding need: it documents manual rerun of analytics rules and results simulation, with no unit test step. It also leads on CI and deployment.

Sigma and pySigma: Pick Sigma and pySigma when rule languages is the deciding need: they convert one rule to Splunk, Kusto and Elasticsearch (Lucene, ES|QL, EQL) backends through installable plugins. They also lead on library size.

Profiles: Microsoft Sentinel, Sigma and pySigma. Alternatives: to Microsoft Sentinel, to Sigma and pySigma.