Swimlane Turbine vs Torq Hyperautomation

Swimlane Turbine is a paid agentic AI automation platform for security operations, vulnerability management, and compliance teams. Its AI case and incident management application provides more than 72 customizable record fields, while Turbine Canvas offers low-code or no-code playbook building. REST API connections use pre-built connectors or custom integrations that Swimlane says are available at no cost. The Marketplace lists more than 6,000 connectors, playbooks, visualization widgets, and automation solutions. Hero AI supplies private agentic and generative AI capabilities, alongside composable dashboards and real-time reporting. Turbine can run in cloud, on-premises, or air-gapped environments and is listed for API, Linux, self-hosted, and web use. Swimlane says customers can execute 25 million daily actions. Cloud controls include TLS, two-factor authentication, SAML 2.0, directory provisioning, and role-based access. Pricing is on request; support is included, with premium upgrades available.

Torq Hyperautomation is a cloud security-automation platform for enterprise security teams and SOC operations. It automates security tasks and workflows at scale as the foundation of the Torq AI SOC Platform. Users can create agentic or deterministic workflows, including repeatable common tasks, by describing a workflow, use case, or desired outcome in natural language; Torq then creates and validates production-ready workflows. Security uses include threat triage, containment, remediation, phishing response, vulnerability management, and cloud security posture remediation. Torq lists more than 400 out-of-the-box integrations, supports custom integrations, and connects through APIs, SSH, PowerShell, SQL, Python, Bash, Kubernetes, and CLI tools for AWS, GCP, and Azure. It offers playbook automation, alert enrichment, threat-intelligence actions, and case management. Deployment is cloud, with API, self-hosted, and web platforms listed. Pricing is paid and available on request. Monthly AI-credit allocations range from 500 to 20,000 by tier, reset without rollover, and each AI Agent execution allows up to 25 tool calls.