Anvilogic vs. CrowdStrike
Automate your SOC whether you keep CrowdStrike or not
CrowdStrike Falcon Next-Gen SIEM runs detection on the data you ingest into the Falcon platform, so your ingest decisions set the ceiling on your coverage. Anvilogic automates work across data onboarding, search, detection, and investigation on every repository holding your security data, including CrowdStrike LogScale and Next-Gen SIEM, so you can keep it, move off it, or run both while you decide.
See how Anvilogic compares to CrowdStrike on the data you already have →
Go beyond detection and investigation
Security operations don't start with an alert. Teams have to onboard and understand new data, search across environments, identify coverage gaps, build and tune detections, investigate what fires, and carry decisions through to resolution. CrowdStrike automates that work on the data you've brought into the Falcon platform, which means the endpoint is well covered and everything you haven't paid to ingest sits outside the loop.
Anvilogic connects that work across every repository holding your security data, whether that's Falcon Next-Gen SIEM, another SIEM, a data lake, cloud storage, or the security platforms that generate the data, in four core areas:
Make new security data usable faster.
Profile and map new feeds, understand schemas, and identify coverage opportunities without centralizing the data first.
Learn more →Search across the data you already have.
Query across SIEMs, data lakes, cloud storage, and security platforms without copying everything into one platform.
Learn more →Turn gaps into coverage.
Identify gaps, build and tune detections, and deploy them into the systems where your data already lives, in each platform's native syntax.
Learn more →Move from alert to decided case.
Move from alert to decided case with contextual triage and investigation.
Learn more →At a glance
| CrowdStrike | Anvilogic | |
|---|---|---|
| Detection execution | Runs in the Falcon platform, on data ingested into Next-Gen SIEM or LogScale | Runs natively in Splunk, Sentinel, Snowflake, Databricks, and more |
| Query language | CQL | SPL, KQL, SQL, and native platform syntax |
| Search | Falcon telemetry plus third-party data ingested into Next-Gen SIEM | Federated across Splunk, Sentinel, Elastic, LogScale, Snowflake, Databricks, Azure, S3, and more |
| What you stand up first | Connectors and parsers to land each third-party source in the Falcon platform | Access to the repositories you already run |
| Cost model | Ingest volume into the platform, scaling with what you centralize | Flat platform fee plus AI credits, with ingest charged only for the data we compute on in cloud storage |
| Detection content | CrowdStrike-maintained correlation rules and content for Falcon data | Thousands of MITRE-mapped detections maintained by a dedicated threat research team, platform agnostic so the same content deploys to CrowdStrike, Splunk, or any platform we support |
| Detection authoring | CQL correlation rules built in the Falcon console | Low code builder, detection-as-code with version control, and MCP |
| Automation model | Charlotte AI triage with Fusion SOAR workflows inside the platform | Blueprints orchestrate workflows across the four core areas with human approval gates |
Response handoff | Fusion SOAR | Tines, Torq, ServiceNow, Jira, and more |
Why the difference matters
Stop letting the ingest bill set your detection strategy
When coverage depends on what you have moved into the platform, controlling cost means filtering, sampling, and dropping sources. Identity, SaaS, network, cloud control plane, and application telemetry are exactly the high-volume feeds that get cut. Route them to a data lake or object storage instead and detect on them where they land. SAP did this and saved more than $1M annually without giving up a detection.
Keep CrowdStrike or leave it. Coverage travels either way.
Correlation rules written in CQL live and die in the Falcon console. Anvilogic holds detection above the storage layer with version control, rollback, and testing, and deploys the same logic into each platform's native language, so consolidating further does not lock your library in and a migration does not stall behind a rule-by-rule rewrite.
Give AI the context of your SOC
Anvilogic’s Enterprise Security Graph connects feeds, schemas, detections, alerts, tuning decisions, and investigation outcomes across every connected platform, so agents reason with the context of the whole environment, not the contents of one platform.
Proven across complex enterprise environments
SAP kept its existing SIEM, moved telemetry to Databricks, and ran detection across both. 35% more MITRE coverage in one week, 60 to 80% less detection engineering effort, and more than $1M saved annually.
"We were early adopters of the unified workflow Anvilogic and Databricks provide and have been able to bring detection engineering outcomes to business enablers recognized at the board level."
"Anvilogic is the perfect solution because it doesn't depend on any specific underlying data lake or SIEM. It isolates and abstracts the layer of data storage down to the schema."
Bring us a real test
Demonstrate onboarding, detection deployment, and case resolution on your existing platforms, CrowdStrike included.
Get a demo