Alert investigation, from hand-written queries to an automated workflow.
60–90 minutes with a senior Elastic engineer. Written findings. No cost, no obligation.
FROM logs-* METADATA _index | WHERE event.category == "authentication" AND event.outcome == "failure" | STATS attempts = COUNT(*), hosts = COUNT_DISTINCT(host.name) BY user.name, source.ip | WHERE attempts > 25 AND hosts > 3 | SORT attempts DESC
ES|QL — the language your Splunk detections migrate into.
Elastic Security is deployed and the alerts are piling up. We turn out-of-the-box rules into detections that fire on things worth looking at, and turn the alert queue into a triage and investigation process your analysts actually follow.
Moving the data is the easy part. We validate that the migrated detections still catch what the Splunk ones caught, so alert quality does not quietly drop after cutover.
Most teams make Elastic cheaper by deleting data sooner — which trades away the one thing the platform is for. We cut the bill without cutting retention.
A core Elastic architect working with a small group of senior Elastic specialists. No juniors, no handoffs.
Security, SIEM, observability, and search — for clients in North America, Europe, and APAC across retail, manufacturing, aerospace, finance, healthcare, and travel.
We work inside the Elastic ecosystem, but our engagements are fixed-scope engineering. Our fees do not scale with what you ingest or retain.
We publish a benchmark that measures whether an AI agent can actually run a security investigation in Elasticsearch: 239,000 ECS documents, 27 ATT&CK techniques, 54 auto-graded questions, with a DOI and mirrors on Hugging Face and Kaggle. Anyone can score their own agent against it, including ours.
See the benchmark →72,000npm downloads of our open-source MCP servers in the last 12 months26,000 in the last month alone
Twenty more servers for Elastic, Kibana, threat intelligence, cloud, and ticketing, all public. Read the code before you talk to us.
View the repositories →SIEM is where most engagements start. The platform underneath it is the same one running your observability and your search.
AttackTrace is our investigation workbench for Elastic security teams — it sits between the alert and the disposition decision, assembling context, timeline, and evidence. It runs in your environment, on your own models.
AttackTrace ↗The same tooling we deploy inside customer environments — for Elastic, Kibana, threat intelligence, cloud, and ticketing systems. Every repository is public.
Browse all repositories →A call with a senior engineer, plus a written one-page findings sheet.
Real configuration, tuning, migration, and integration against a defined goal.
Senior Elastic capacity for your team — reviews, upgrades, incidents, new detections.
60–90 minutes with a senior Elastic engineer, plus a written one-page findings sheet: the three to five specific problems in your current setup, ranked by priority. No cost, no obligation. A deeper assessment, if you want one, is a separate scoped engagement.
Book a free SIEM review