Cloud-based platform providing customizable AI agents and co-pilot for automating security investigations, detection engineering, and threat hunting.
Security teams face alert overload, time-consuming manual investigations, fragmented tools, and repetitive workflows that hinder focus on threat hunting and strategic defense.
Security teams face alert overload, time-consuming manual investigations, fragmented tools, and repetitive workflows that hinder focus on threat hunting and strategic defense.
Cotool provides AI agents and co-pilot to automate investigations, detection engineering, threat hunting, and workflows, reducing manual tasks and assembling context across tools.
Cotool provides AI agents and co-pilot to automate investigations, detection engineering, threat hunting, and workflows, reducing manual tasks and assembling context across tools.
Appears active as of November 2025 based on official blog posts and website activity.
Appears active as of November 2025 based on official blog posts and website activity.
Cotool is a San Francisco-based startup offering a cloud-based security automation platform. It equips security operations teams with AI-powered tools to handle investigations, automate workflows, and manage threats more efficiently. Founded in 2025 and backed by Y Combinator, Cotool focuses on reducing manual tasks for security professionals.
Cotool's platform includes an AI co-pilot that gathers context from various security tools like SIEMs, logs, and threat feeds during alert triage. This helps analysts make faster decisions without manual data collection. The no-code agent builder allows teams to create reusable autonomous agents for monitoring, triaging, investigating, and optimizing detections. Agents can be customized to fit specific runbooks and workflows, turning individual expertise into scalable automation.
Additional capabilities cover building and tuning detections automatically, automating investigations to reduce mean time to response (MTTR), and hunting emerging threats by monitoring intel and system activity. The platform supports granular permissions, audit logging, and composable modular design for flexibility across team sizes.
Cotool is a San Francisco-based startup offering a cloud-based security automation platform. It equips security operations teams with AI-powered tools to handle investigations, automate workflows, and manage threats more efficiently. Founded in 2025 and backed by Y Combinator, Cotool focuses on reducing manual tasks for security professionals.
Cotool's platform includes an AI co-pilot that gathers context from various security tools like SIEMs, logs, and threat feeds during alert triage. This helps analysts make faster decisions without manual data collection. The no-code agent builder allows teams to create reusable autonomous agents for monitoring, triaging, investigating, and optimizing detections. Agents can be customized to fit specific runbooks and workflows, turning individual expertise into scalable automation.
Additional capabilities cover building and tuning detections automatically, automating investigations to reduce mean time to response (MTTR), and hunting emerging threats by monitoring intel and system activity. The platform supports granular permissions, audit logging, and composable modular design for flexibility across team sizes.
SaaS subscription for security teams
SaaS subscription for security teams
Security operations teams in startups and enterprises focused on threat detection, response, phishing investigation, alert triage, and compliance
Security operations teams in startups and enterprises focused on threat detection, response, phishing investigation, alert triage, and compliance
Blog post published November 17, 2025 on AI model benchmarks.
Hiring: unknown
Blog post published November 17, 2025 on AI model benchmarks.
Hiring: unknown
Cotool slots into existing security stacks without requiring process overhauls. Its agentic approach enables actions like enriching indicators, launching hunts on triggers, and assembling unified views of incidents. Security teams can deploy agents that refine themselves, surface coverage gaps, and handle repetitive tasks such as phishing investigations, alert triage, compliance reporting, and detection engineering. The human-centric design augments professionals rather than replacing them, preserving auditable processes.
Cotool slots into existing security stacks without requiring process overhauls. Its agentic approach enables actions like enriching indicators, launching hunts on triggers, and assembling unified views of incidents. Security teams can deploy agents that refine themselves, surface coverage gaps, and handle repetitive tasks such as phishing investigations, alert triage, compliance reporting, and detection engineering. The human-centric design augments professionals rather than replacing them, preserving auditable processes.
Cotool addresses common pain points in security operations (SecOps). It automates repetitive workflows to combat alert overload and manual investigations. Teams use it for threat detection and response, continuous threat hunting, and optimizing detection rules as code. Early adopters apply it to streamline operations in environments with fragmented tools, enabling focus on strategic threat hunting.
Cotool addresses common pain points in security operations (SecOps). It automates repetitive workflows to combat alert overload and manual investigations. Teams use it for threat detection and response, continuous threat hunting, and optimizing detection rules as code. Early adopters apply it to streamline operations in environments with fragmented tools, enabling focus on strategic threat hunting.
The platform leverages frontier AI models for realistic SecOps tasks. Cotool's benchmarks evaluate models on datasets like Splunk BOTSv3, providing guidance for enterprise automation. Features emphasize no-code interfaces, natural language inputs, and autonomous agent behaviors that take actions within secure frameworks. This setup supports both technical and non-technical users in creating tailored agents.
The platform leverages frontier AI models for realistic SecOps tasks. Cotool's benchmarks evaluate models on datasets like Splunk BOTSv3, providing guidance for enterprise automation. Features emphasize no-code interfaces, natural language inputs, and autonomous agent behaviors that take actions within secure frameworks. This setup supports both technical and non-technical users in creating tailored agents.
Unlike traditional dashboards or passive AI insights, Cotool offers truly agentic tools with autonomy, customization, and seamless integrations. Its emphasis on empathy for security practitioners stems from founders' experience with teams at organizations like OpenAI, Coinbase, and DoorDash. The platform prioritizes reducing investigation time and improving detection quality through practical, workflow-embedded automation.
Unlike traditional dashboards or passive AI insights, Cotool offers truly agentic tools with autonomy, customization, and seamless integrations. Its emphasis on empathy for security practitioners stems from founders' experience with teams at organizations like OpenAI, Coinbase, and DoorDash. The platform prioritizes reducing investigation time and improving detection quality through practical, workflow-embedded automation.
