The multi-tenant SIEM
you can actually own.
Ingest, detect, and investigate in one platform — deployed on your infrastructure, ours, or a network with no internet at all. A sealed tenant for every client you manage, or the SIEM your own team finally controls.
- 45 curated detection rules
- OCSF-normalized events
- MITRE ATT&CK-mapped
- 23 visualization types
- 3 independent isolation layers
- Deploys air-gapped
Run it your way.
The same platform runs a managed-security practice or a single security team. The only difference is how many cells you fill.
A sealed cell for every client.
Multi-tenant to its bones
Built multi-tenant from day one — not a single-tenant product with per-client filters bolted on after.
Per-tenant everything
Data, detection rules, dashboards, users and SSO are scoped per client. Nothing is shared by accident.
Isolation you can defend
Tenant separation is enforced at three independent layers — not by a WHERE clause someone remembered to add.
One stack for all clients
Operate a single platform; onboarding a client is a provisioning script, and improvements land for everyone at once.
Your SIEM, on your infrastructure.
Deploy where the data lives
Your cloud, your datacenter, or a network with no internet at all — the platform doesn't care.
Own your data end-to-end
Telemetry never has to leave infrastructure you control. Leave the platform and the data is still yours.
No per-GB ransom
Self-host it and your ingest bill is your storage bill. Log verbosely; investigate freely.
Enterprise sign-in included
SAML and OIDC SSO with the identity provider you already run — Entra and friends.
Isolation, enforced three times.
Every tenant is a sealed cell. Three independent layers each enforce that on their own — so a bug in one still leaves two walls standing.
- L1
Ingress — identity before entry
The edge authenticates every event and stamps its tenant server-side. A client never gets to claim who it is.
- L2
Processing — identity from authentication
The pipeline derives tenancy from the authenticated source — never from anything in the payload.
- L3
Storage — row policies, default deny
Every query runs as a tenant-scoped reader behind a per-tenant row policy. An unprovisioned user sees zero rows.
From raw event to closed case.
Everything between an endpoint and an analyst decision happens in one platform — no duct tape between an ingest product, a rules product and a ticketing product.
01Collect
Endpoint agents for telemetry and live forensics, plus a collector plane for anything that speaks syslog. Enrollment is one activation code.
windows · linux · syslog
02Normalize
Every source is parsed to OCSF field names on the way in — and a built-in parser IDE handles the sources nobody else bothers to parse.
ocsf · parser ide
03Detect
Rules emit scored signals per entity. A risk engine aggregates them over rolling windows and promotes only what crosses the line.
signals → risk → alert
04Triage
Alerts auto-correlate into cases per entity, each with a kill-chain timeline and a pivot into search from every alert.
cases · kill-chain
Fewer alerts. Better ones.
SecurityBeez runs risk-based alerting. Detections emit scored signals instead of paging on every match; risk accumulates per entity, and only when it crosses a threshold across multiple ATT&CK tactics does anyone get interrupted — with the whole story already assembled.
Signals, not pages
Each detection scores an observation and pins it to an entity — a host, a user. Nobody gets paged for a single match.
An engine built for the real world
Watermark scheduling replays windows after downtime and waits out ingest lag, so nothing is silently skipped. Stateful dedup, suppressions, and analyst disposition feedback keep precision honest — and when something does promote, it reaches you by webhook, Slack, or email.
A knowledge base that earns the word curated
45 validated, high-fidelity rules across 7 packs — ATT&CK-mapped, tuned against real telemetry, and seeded per tenant so you arm what fits.
Detection-as-code
Every rule carries ADS metadata — goal, false positives, validation, response — and rules export and import as portable JSON packs.
dc-01 · administrator
entity · domain controller
- 09:41Credential Access+15 → 15Failed admin logins — burstT1110
- 09:43Initial Access+20 → 35Valid account logon from external IPT1078
- 09:44Persistence+25 → 60Account added to Domain AdminsT1098
- 09:45Execution+15 → 75Encoded PowerShell commandT1059.001
- 09:47Command & Control+10 → 85First-seen outbound on high portT1571
Risk 85 across 5 tactics — promoted to case
Case SB-0114The same incident from the console above — as the risk engine saw it
Ask in plain language.
SBQL is a pipe query language over your OCSF-normalized events. When you'd rather just ask, describe what you want — SecurityBeez writes the SBQL, shows you exactly what it wrote, and waits for your go-ahead.
The AI writes the query. Never touches your data.
The model's only output is a query string — it has no access to your events, ever. What runs is what you see.
Reviewable by design
Every generated query is real SBQL — read it, edit it, then run it. Nothing executes until you say so.
A pipe language underneath
SBQL speaks | stats, | timechart, | where, | eval and “followed by” sequences — with saved searches, field discovery and CSV export.
The whole hive, on one wall.
23 visualization types — from GeoIP world maps to a native MITRE ATT&CK matrix — arranged into nestable dashboard groups. Every tenant starts with analyst boards out of the box, and every panel drills down to the search that made it.
open cases
3
signals · 24h
412
agents reporting
28/29
events over time
att&ck · signal heat
geoip · sign-in origins
top firing rules
drag-and-drop layout · nested groups · click any panel to open it in search
Every agent, accounted for.
Enrollment is one activation code. After that, the platform watches the watchers — and when an investigation needs to go deeper than logs, it reaches the endpoint live.
One-code enrollment
A single per-tenant activation code enrolls an endpoint into telemetry and live forensics at once. Windows and Linux; network gear joins over syslog with its own collector token.
“Active but silent” isn't fine
Agent Park compares heartbeats against what actually got stored. An agent that checks in but sends nothing is the failure mode most fleets miss — here it gets flagged, not forgotten.
Live forensics on tap
When a case needs digging, reach into any endpoint with Velociraptor — live queries, file collection, and timelining on the machine itself, without leaving the platform.
Agent Park
fleet health · last 15m
One knob. Any network.
The whole platform re-homes from a single setting — a public domain, a private IP, or a network with no internet at all. A proof of concept stands up on your infrastructure in a day.
Nothing hardcoded
Portal URLs, agent enrollment and sign-in follow the deployment — move it and everything moves with it.
Offline by design
Image bundles install on networks that never touch the internet. Updates arrive the same way.
Your infra or ours
Run it in your cloud or datacenter and own everything — or have us host it and just log in.
Thirty days on your own logs.
No sandbox tour, no synthetic data. The PoC is the platform doing real work in your environment — so the decision makes itself.
- step 01
Book a 30-minute demo
See the platform on our data, and tell us about your environment — sources, endpoints, MSP or in-house. We scope the PoC together on the call.
- step 02
We stand it up — with your logs
On your infrastructure or hosted by us, usually within a day. First agents enrolled, a syslog source pointed in, real events flowing.
- step 03
30 days of real alerts
The curated detection knowledge base armed and tuned to your environment, weekly check-ins, and real alerts on real data. Then you decide.
Ready when
your logs are.
A 30-minute demo, then a proof of concept on your own infrastructure. Whether you run one SOC or thirty clients.
Or just write to securitybeez@gmail.com — a human reads every note.