Detection as Code

Anvilogic vs Sigma and pySigma

Anvilogic totals 5.48 and Sigma and pySigma totals 5.50 on the 10 point detection-as-code rubric (sources read 2026-11-03 and 2026-11-04). The totals sit within 0.25, too close for the evidence to separate them. The pair turns on rule languages: Sigma and pySigma document it in full, and Anvilogic publishes 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: Anvilogic scores 6.0 against 2.0 for Sigma and pySigma, which is 0.72 of the 10 point total.

The pair splits on rule languages: Sigma and pySigma convert one rule to Splunk, Kusto and Elasticsearch (Lucene, ES|QL, EQL) backends through installable plugins, and Anvilogic names the SIEMs it deploys to but not the rule languages it emits. sigmahq.io read 2026-11-03 anvilogic.com read 2026-11-04

Rubric side by side

Anvilogic totals 5.48 and Sigma and pySigma totals 5.50 out of 10. The two totals are within 0.25 of each other, too close for the evidence to separate them.

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

MarkerCriterionWeightAnvilogicSigma and pySigma
+Rule languages and conversion paths155.08.5
+Git-native workflow and CI/CD185.06.0
-Testing155.04.0
-Coverage analytics127.05.0
-Rule health186.02.0
Versioning and rollback85.05.0
+Content library size and freshness85.08.0
+Pricing transparency66.09.0
Total1005.485.50

The 33 capabilities as a diff

Read it as a diff from Anvilogic to Sigma and pySigma: 22 of 33 rows differ. A plus marks a row where Sigma and pySigma documents more (13 rows), a minus a row where Anvilogic documents more (9 rows). Rows with no marker match.

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

MarkerCapabilityAnvilogicSigma and pySigma
Languages
Sigma and pySigma documents moreSigma nativeAnvilogic, Sigma native: not documentednot documentedSigma and pySigma, Sigma native: documenteddocumented
Sigma and pySigma documents moreSigma conversionAnvilogic, Sigma conversion: not documentednot documentedSigma and pySigma, Sigma conversion: documenteddocumented
Sigma and pySigma documents moreYARA-LAnvilogic, YARA-L: not documentednot documentedSigma and pySigma, YARA-L: partialpartial
Sigma and pySigma documents moreSPLAnvilogic, SPL: not documentednot documentedSigma and pySigma, SPL: documenteddocumented
Sigma and pySigma documents moreKQLAnvilogic, KQL: not documentednot documentedSigma and pySigma, KQL: documenteddocumented
Sigma and pySigma documents moreEQL or ES|QLAnvilogic, EQL or ES|QL: not documentednot documentedSigma and pySigma, EQL or ES|QL: documenteddocumented
PythonAnvilogic, Python: not documentednot documentedSigma and pySigma, Python: not documentednot documented
Anvilogic documents moreVisual builderAnvilogic, Visual builder: partialpartialSigma and pySigma, Visual builder: not documentednot documented
YARAAnvilogic, YARA: not documentednot documentedSigma and pySigma, YARA: not documentednot documented
Sigma and pySigma documents moreLucene or KQL-likeAnvilogic, Lucene or KQL-like: not documentednot documentedSigma and pySigma, Lucene or KQL-like: documenteddocumented
Source control and CI
Git syncAnvilogic, Git sync: not documentednot documentedSigma and pySigma, Git sync: not documentednot documented
PR deployAnvilogic, PR deploy: not documentednot documentedSigma and pySigma, PR deploy: not documentednot documented
Sigma and pySigma documents moreCLIAnvilogic, CLI: not documentednot documentedSigma and pySigma, CLI: partialpartial
Rule APIAnvilogic, Rule API: not documentednot documentedSigma and pySigma, Rule API: not documentednot documented
Sigma and pySigma documents moreCI examplesAnvilogic, CI examples: not documentednot documentedSigma and pySigma, CI examples: partialpartial
Anvilogic documents moreEnv promotionAnvilogic, Env promotion: partialpartialSigma and pySigma, Env promotion: not documentednot documented
Testing
Anvilogic documents moreUnit testsAnvilogic, Unit tests: partialpartialSigma and pySigma, Unit tests: not documentednot documented
ReplayAnvilogic, Replay: not documentednot documentedSigma and pySigma, Replay: not documentednot documented
Anvilogic documents moreSynthetic eventsAnvilogic, Synthetic events: partialpartialSigma and pySigma, Synthetic events: not documentednot documented
Backtest reportsAnvilogic, Backtest reports: not documentednot documentedSigma and pySigma, Backtest reports: not documentednot documented
Anvilogic documents moreTest coverageAnvilogic, Test coverage: partialpartialSigma and pySigma, Test coverage: not documentednot documented
Coverage analytics
Sigma and pySigma documents moreATT&CK mapAnvilogic, ATT&CK map: partialpartialSigma and pySigma, ATT&CK map: documenteddocumented
Anvilogic documents moreGap viewAnvilogic, Gap view: partialpartialSigma and pySigma, Gap view: not documentednot documented
Data sourcesAnvilogic, Data sources: not documentednot documentedSigma and pySigma, Data sources: not documentednot documented
Anvilogic documents moreLog source healthAnvilogic, Log source health: partialpartialSigma and pySigma, Log source health: not documentednot documented
Rule health
Anvilogic documents moreNoisy rulesAnvilogic, Noisy rules: partialpartialSigma and pySigma, Noisy rules: not documentednot documented
Anvilogic documents moreBroken rulesAnvilogic, Broken rules: partialpartialSigma and pySigma, Broken rules: not documentednot documented
Field driftAnvilogic, Field drift: not documentednot documentedSigma and pySigma, Field drift: not documentednot documented
Rule costAnvilogic, Rule cost: not documentednot documentedSigma and pySigma, Rule cost: not documentednot documented
Sigma and pySigma documents moreLifecycleAnvilogic, Lifecycle: partialpartialSigma and pySigma, Lifecycle: documenteddocumented
Library
Sigma and pySigma documents moreLibrary countAnvilogic, Library count: partialpartialSigma and pySigma, Library count: documenteddocumented
Sigma and pySigma documents moreCommunityAnvilogic, Community: not documentednot documentedSigma and pySigma, Community: documenteddocumented
CadenceAnvilogic, Cadence: partialpartialSigma 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 estateBoth document a route: Anvilogic lists Azure Sentinel as a deployment target on its product page (vendor claim), and Sigma and pySigma convert Sigma to KQL through its Kusto backend, listed as Stable, so the difference above decides.
Elastic estateBoth document a route: Anvilogic lists Elastic as a deployment target on its product page (vendor claim), and Sigma and pySigma convert Sigma to Lucene, ES|QL and EQL through its Elasticsearch backend, so the difference above decides.
Splunk estateBoth document a route: Anvilogic lists Splunk as a deployment target on its product page (vendor claim), and Sigma and pySigma convert Sigma to SPL through its Splunk backend, so the difference above decides.
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; Anvilogic 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; Anvilogic documents no Sigma path.

When to pick each

Anvilogic: Pick Anvilogic when testing is the deciding need: it shows TEST and DEPLOY steps in its detection editor and describes no test cases. It also leads on rule health.

Sigma and pySigma: Pick Sigma and pySigma when CI and deployment is the deciding need: they convert rules from the command line with sigma-cli and has no deploy step. They also lead on rule languages.

Profiles: Anvilogic, Sigma and pySigma. Alternatives: to Anvilogic, to Sigma and pySigma.