Security teams face significant time drains due to manual alert triage and investigation processes, often requiring extensive context gathering across disparate security tools. This fragmented workflow leads to increased mean time to detect (MTTD) and mean time to respond (MTTR), diverting analyst focus from critical threat analysis.

Cotool provides a platform of composable AI agents designed to automate and streamline security workflows, specifically targeting alert triage and investigation. These agents autonomously gather context from across the security stack, reducing the time analysts spend on repetitive tasks by up to 90%. By enabling the creation of tailored agents that mirror existing runbooks, Cotool transforms manual processes into efficient, automated operations. This allows security engineers to focus on higher-level analysis and strategic threat mitigation rather than manual data aggregation.

Composable AI agents for automated security workflow execution.

Autonomous context assembly across integrated security tools.

Reduction of alert triage and investigation time by up to 90%.

Agent framework for building custom automation based on team runbooks.

Detection as code capabilities for continuous monitoring and tuning.

Integrations with a broad range of security stack components.

The primary target audience includes security operations center (SOC) analysts, security engineers, and incident response teams within organizations seeking to enhance the efficiency and effectiveness of their security operations.