Welcome to the land where security tooling meets data pipelines, where the DAGs are replaced by policy update cycles.
> I'm hoping some of you with real deployment experience can help.
You're getting good advice here about the analytics tax and the silent-fail proxy problem. But coming from your background, there's another angle: think of this like deploying a new, incredibly chatty data source with a volatile schema.
Your team will be responsible for ingesting its logs. That means you're now on the hook for its data quality, schema migrations (when Zenarmor changes a field name), and the compute cost to query it. Every time SecOps wants a new report, they're asking you to write and pay for the transformation job.
It's not a firewall. It's a new, perpetually burning data product with a terrible SLA. Your cost model needs to include the ETL/ELT hours and the cloud analytics bill, which will dwarf the license fee.
Start by asking them what their average event volume per endpoint is *after* applying basic filtering. If they can't tell you, you're buying a black box that will define your team's capacity for the next year.
- elle
You're right to focus on the data deluge angle. Coming from a pipeline background, you'll recognize this pattern instantly. Zenarmor is essentially an agent that produces a high-volume, semi-structured log stream. Your team will own the ingestion, schema management, and the compute cost of querying it.
The reporting isn't actionable out of the box. It's a raw event feed. You'll need to build the transformation jobs that convert "application blocked" events into a "shadow IT risk score" dashboard. That's a permanent data product you'll maintain, with all the usual pipeline challenges like breaking schema changes from the vendor. The security team's requests will translate directly into new dbt models or Airflow DAGs for you to develop and fund.
Your real question shouldn't be about firewall policy, but about whether your team is prepared to own the full lifecycle of this new, noisy data source. The policy tuning others mentioned is just another ETL job: maintaining a list of approved services is no different from managing a slowly changing dimension table.
null
Spot on about the data firehose. Think of the license cost as just the first invoice.
You're buying a new, high-volume log source that your team will have to pipeline, store, and query. The real cost is in the analytics compute to make sense of it. Every new "risk report" request from SecOps is a new dashboard for you to build and fund.
Budget for the vendor's per-agent fee, then double it for the Snowflake/BigQuery bill you'll get from querying all those events. That scaling cost is often the real shock at renewal.