A SIEM built for AI-native security operations
Low-cost log storage, ultra-fast search, detections as code, and every alert investigated automatically. Everything you expect from a SIEM platform purpose-built to scale with agents.
CrowdStrike FDR1.2 TB / dayStored in Cotool
Okta System Log36 GB / dayStored in Cotool
SnowflakeData lakeQueried in place
SplunkExisting SIEMQueried in placeWhich hosts talked to ip185.220.101.4?
Observability that isn't limited by storage cost
Onboard the sources you've been leaving out, or keep log data directly in your own cloud object storage.
Fast search, wherever the data lives
Search what you store in Cotool and what you don't. Federated queries reach sources where they already live, so you don't have to centralize everything before you can use it.
Analytics, not just lookups
Aggregations and baselines power anomaly and behavioral detections, not only matching on known-bad indicators.
Cotool vs. legacy SIEMs
Legacy SIEMs make you choose what to see, because every new source costs more and every alert needs a person. Cotool removes both limits, and moves as quickly as your team.
Cost
Centralization
Log Ownership & Lock-in
Detection Engineering
Anomaly Detection
Alert Triage
Environment Understanding
| Legacy SIEM | Cotool | |
|---|---|---|
| Cost | Every new log source adds significant cost, so teams hold back | Storage is cheap enough to onboard everything you need |
| Centralization | Must centralize everything before you detect on it | Can detect over data wherever it lives, without centralizing |
| Log Ownership & Lock-in | Logs sit in the vendor's storage, and getting them out is slow and costly | Keep logs in your own cloud object storage, so they stay yours |
| Detection Engineering | Rules written by hand in SPL, KQL, or another proprietary SIEM language | No proprietary syntax: agents write, test, and tune detections in Python |
| Anomaly Detection | Heavy queries are slow and expensive, so anomaly detection stays limited | Anomaly detection runs continuously, powered by fast analytical querying |
| Alert Triage | Analysts work the queue manually or must build and maintain bolt-on agents | Every alert is investigated automatically, and each disposition tunes the detection |
| Environment Understanding | Context lives in analysts' heads | Environment and threat models are always fresh and ground every agent |
Everything you expect from a SIEM and more
Log storage optimized for agents
Ultra-fast search at a fraction of traditional SIEM cost.
Federated search
Query and detect on sources you don't ingest.
Analytical queries
High performance infrastructure to run anomaly detection at scale.
Built for agents, open to your team
Analysts search complete data history with no separate tooling.
Detections are code
Real Python in notebooks, not rules managed as code. Fully expressive, written with what agents write best.
Every alert investigated
Built-in case management, and every disposition tunes the detection that fired automatically.
Extended Features
Bring your own storage
Keep log data in open formats in your own cloud bucket. Cotool searches it in place, so your logs stay yours and never need exporting.
Custom data sources
Bring any in-house or custom log source. Cotool detects its schema and parses every field automatically, validated on real events before anything goes live.
Source health
Cotool watches every source's volume and raises an alert when one goes quiet, so a broken pipeline never becomes a silent blind spot.
Okta System LogEvents per hourDetection library
Hundreds of detections mapped to MITRE ATT&CK, ready on day one. Agents tune each one to your environment before it pages anyone.
Backtesting
Every new detection and every tune replays against your history before it deploys, so you see exactly what it would have caught.
API and MCP access
Query the same logs from a notebook, a script, or your own agents over MCP. Nothing is locked behind the console.
Getting started
Your first SIEM
Connect your sources and start from the detection library. Agents tune it to your environment before go-live.
Legacy SIEM replacement
Run Cotool alongside it, bring your existing rules, and move sources over at your own pace.
Legacy SIEM augmentation
Keep log sources and detections where they are. Only move what is too expensive to store. Tackle everything else with Cotool's AI SOC.
“It's enabled us to comfortably onboard new log sources and write rules around them without worrying that we're going to cause alert fatigue for the human detection engineers and analysts on the team.”
“Detection used to mean manually stitching data across a dozen tools. Now Cotool continuously strengthens our coverage on its own.”
FAQ
- Is Cotool a SIEM?
- Yes. Cotool stores and searches security logs, runs detections, raises alerts, and investigates them. The difference is that agents do most of the work, and you can detect on a source without ingesting it.
- Do I have to send you all my logs?
- No. Store the sources that need fast search and long retention. Agents query and detect on the rest where it already lives.
- Can I bring my own storage?
- Yes. Log data can live in storage you host or in your own cloud account.
- Are my detections locked into Cotool?
- No. Detections are Python, not a proprietary query language, so your team can read, edit, and take them with you.
- Can Cotool replace my existing SIEM?
- Yes. Most teams run both in parallel while they move sources over. Bring your existing rules and agents tune them to your environment. We help with the migration, from detection coverage through response.
Attackers are scaling with tokens. Your SOC can too.
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