Tines vs Torq

Torq is purpose-built for agentic AI in SOC: its Socrates NLP enables natural language remediation, Context Graph grounds AI decisions in real-time environment data, and Torq Recall learns from resolved cases to improve future triage – a unique implicit learning capability. HyperAgents specialize investigations while Hyperautomation handles agentic runbooks. Transparent audit logs and human-in-the-loop oversight ensure compliance. In contrast, Tines shines in flexibility: its Storyboard workflow builder visually connects any API via REST, webhooks, or MCPs, supporting agentic, deterministic, and human-driven workflows. The Workbench universal AI copilot (v41.4.0+) assists in story creation. Tines also offers powerful case management with metrics and charts, pre-built workflow library, and governance controls. However, Torq’s AI-native SOC capabilities (agentic alert triage, autonomous case creation, threat hunting with historical cases) are deeper for security operations, while Tines’ broader cross-team appeal (IT, engineering) and vendor-agnostic integration layer make it a versatile automation backbone.

Torq requires contacting sales, typical for enterprise AI SOC platforms – likely $100k+ annually given its target of high-volume SOCs. Tines offers a freemium model: free tier for basic usage, paid plans starting around $1k/month for advanced features, with Business and Enterprise tiers for larger organizations. Tines’ pricing is more accessible for small to mid-sized teams, while Torq’s cost reflects its specialized AI agent capabilities. For budget-conscious teams, Tines provides a lower entry point; for high-alert-volume enterprises, Torq’s ROI from reducing analyst workload may justify the investment.