Skip to main content

Detect what static rules can’t

Purpose-built to detect threats your SIEM is missing. Cotool detects threats using natural language intent, and automatically suggests new detections to cover gaps.

Loved by teams at:

Agentic Detections

Detect threats that can't be written as rules

Detection agents enable intent-driven coverage. Describe your threat model in natural language and Cotool agents constantly scour your environment – even tools you don’t have central log visibility into. Capture multi-step attacks, statistical signals, and unstructured data sources that can’t be expressed within a static rule.

Detection used to mean manually stitching data across a dozen tools. Now Cotool continuously strengthens our coverage on its own.

Winston Laoh
Winston Laoh
Senior Security Engineer
AI-Assisted Rule Authoring

Extend existing coverage

No need to throw out your existing SIEM rules. Create new rules in an AI-assisted detection authoring experience where agents pull context from any tool and iterate until the rule is production-ready. Apply the same agents to your existing ruleset to tune automatically. All compatible with your existing detection-as-code infrastructure.

Coverage Mapping

Visualize your coverage gaps and fix them automatically

Map your entire detection suite across sources onto the MITRE ATT&CK framework to monitor coverage and surface gaps. Create new contextualized detections for any tactic and technique with one click.

IllustrationIllustration

Scale detection in a completely new way

See how teams run continuous detection across live logs without writing rules for every edge case

Request a demo

Extended Features

Agent observability built-in

Every Detection Agent run is logged and searchable. Re-enter any execution to view all tool inputs and outputs and ask follow up questions.

Agent observability built-in

Suggested detections out of the box

Review a library of Detection Agents and rules tailored to your environment. Agents continuously perform threat hunts to produce relevant detection suggestions around the clock.

Suggested detections out of the box

Environment Understanding

Cotool proactively maps the data in your environment upon connection to build a context layer shared by every agent.

Environment Understanding

Evaluation & Monitoring is First Class

Cotool’s evaluation harness automatically measures every agent run so you can track agent performance over time. Agent version control keeps the lineage clear.

Evaluation & Monitoring is First Class

Enterprise ready

SOC2 Type 2 Certified, with Audit logging, RBAC, and SSO support out of the box.

Enterprise ready

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.

Antoinette Stevens
Antoinette Stevens
Principal Security Engineer
Integrations
IllustrationIllustration

Native Integrations
+ Custom MCPs

AbuseIPDB
Code42
CrowdStrike
Databricks
Datadog
Google Drive
Google Workspace
GreyNoise
incident.io
Jira
Kandji
Linear
Material
Microsoft Defender
Microsoft MD
Microsoft OneDrive
Microsoft Teams
Notion
Okta
Panther
Rippling
Scanner MD
SentinelOne
Slack
Snowflake
Socket
Splunk
Sublime
TheHive
Tines
urlscan
VirusTotal
Wiz
AbuseIPDB
Code42
CrowdStrike
Databricks
Datadog
Google Drive
Google Workspace
GreyNoise
incident.io
Jira
Kandji
Linear
Material
Microsoft Defender
Microsoft MD
Microsoft OneDrive
Microsoft Teams
Notion
Okta
Panther
Rippling
Scanner MD
SentinelOne
Slack
Snowflake
Socket
Splunk
Sublime
TheHive
Tines
urlscan
VirusTotal
Wiz

Cotool comes ready to plug in to nearly any tool in your stack. Leverage Custom MCP support to integrate internal systems. With our in-house connector framework, we turn around new first-class integrations in days, not weeks or months.