Audit Analytics · sealed OLAP
Snowflake-class OLAP. On sealed audit data.
When your audit chain spans hundreds of millions of events across years, the question stops being "is it tamper-evident" and becomes "how do I run a meaningful query." Audit Analytics is a columnar engine purpose-built for sealed event data — aggregate, slice, and dashboard at warehouse throughput, without the chain ever losing its integrity guarantees.
10⁸+
events by design
columnar parquet · partitioned by date, org, app
analytics layers
end users per app group · organization audit
pipelines to build
audit-native — events land columnar, already sealed
See pricing Talk to sales
Columnar core
Sealed events land as parquet embedded OLAP queries it in place
Compare periods
Every KPI ships with its previous period change is a number, not a feeling
Slice by app group
One org, many brands — analyzed apart and rolled up together
Verify in browser
The chain checks out on your machine not on our word
Why not just pipe it into a warehouse?
A warehouse stores what arrived. The chain proves what happened.
You can wire audit events into Snowflake or BigQuery — teams do. What arrives is a copy with no guarantees: the pipeline can drop events, the schema drifts, and once data lands, anyone with warehouse access can edit history. Audit Analytics skips the pipeline entirely, because the analytical store is the sealed record.
The warehouse way · build a pipeline
Copy first, hope later
Integrity ends where the pipeline begins.
Engineering wires events into the warehouse, keeps the schema in sync forever, and pays for every query. The copy has no chain — an auditor asking "is this complete and untampered?" gets a shrug, because completeness died in transit.
A pipeline to build and babysit
Schema drift breaks dashboards quietly
Landed data is editable — no integrity
Completeness is unprovable
The Axowl way · audit-native
The sealed store is the analytical store
Aggregates inherit the chain's guarantees.
Events land sealed and columnar in one motion — there is no copy to drift and no pipeline to fail. Queries run where the chain lives, row security inherits from the sealed grant chain, and verification runs client-side against the same files the dashboard reads.
Zero ETL — events arrive analysis-ready
Per-row verification and cross-row aggregation, cleanly layered
Warehouse export available — with sealed lineage
An auditor can re-check every number
Engine: columnar parquet on object storage · embedded OLAP · hot cache for recent events
The questions it answers on day one
The analytics every identity platform sells — plus one they can't.
The standard battery, out of the box: active users with period-over-period change, login and sign-up trends, sign-in method mix, top actors and login sources — sliced per app group or rolled up. And then the widget only a sealed chain can power.
Growth & engagement
DAU/MAU with previous-period deltas, sign-up trends, login volume — the pulse of every app group, separately and together.
Security signals
Top actors, top login sources, method mix. Spike and anomaly detection lands next — on data nobody could have quietly rewritten.
Who changed what
Organization audit events — permission grants, setting changes, admin actions — the configuration-change view compliance teams live in.
Integrity scoreboard
Sealed pass/fail rates, notarization coverage, tamper alerts — compliance-dashboard grammar applied to cryptographic proof. The widget competitors can't ship , because their logs can't back it.
Verify on your own device
Don't take our word for it. Recompute the hash yourself.
Every audit record is sealed with a SHA-256 hash of its core fields the moment it is written. Open any record and press Verify on my device : your browser rebuilds the input from the fields on screen and recomputes the hash on your own CPU. Nothing is sent to Axowl. Same input, same hash, on any machine — an auditor or regulator can confirm a record without trusting us.
Sealed at write
Eleven core fields — who, when, what, target, address — are hashed and stored with the record.
Open a record
The detail view shows the fields and the sealed hash side by side.
Your CPU recomputes
The browser joins the same fields in the same order and runs SHA-256 locally. No network call.
Match means untouched
Equal hashes: the record has not changed since it was sealed. Different: it was altered, and the screen says so.
Two products, one chain
Strix writes the record. Audit Analytics reads it.
They're separate products that compound: Strix is the sealed database your application writes to; Audit Analytics is the engine that turns sealed events — identity, audit, and application — into dashboards. Use either alone. Together, every chart stands on rows nobody could have edited.
See pricing Read the docs