Tines: No-Code Workflows Meet Agentic AI, With the Governance to Match

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Part two of a six-part series looking at the current wave of AI-driven SOC automation tools — Torq HyperSOC, Tines, Dropzone AI, Prophet Security, Cortex XSIAM/AgentiX, and StackStorm.

Tines has been around the security automation space since 2018, long before “agentic AI” was a phrase anyone used at a vendor booth, and that history shows in how it’s approached the current shift. Rather than launching a brand-new AI-first product, Tines has spent the last couple of years layering agentic capability onto a workflow platform that already had a reputation for being genuinely no-code.

Stories, Workbench, and Cases

The core building block in Tines is still the “story” — a visual, connected sequence of steps that can mix deterministic automation, AI agents, and human-in-the-loop checkpoints however a team wants to design it. That flexibility is one of Tines’ selling points: you’re not forced into a fully autonomous model if you’d rather keep a person approving certain steps.

On top of that, Tines has added Workbench, an AI copilot built into the platform that can carry out tasks like password resets or employee lookups from a natural-language request, and Cases, a proper case management layer for tracking incidents through to resolution with metrics like time-to-detect and time-to-respond. Recent updates have pushed native AI agent building further, so building an agent is now treated as a first-class part of the platform rather than a bolt-on.

Governance is the differentiator

What stands out about Tines compared to some of the newer entrants in this space is its certification stack: SOC 2 Type II, ISO 27001, GDPR and CCPA compliance are fairly standard for enterprise security tools by now, but Tines has also picked up ISO 42001 — the international standard specifically for AI management systems. That’s a fairly small club to be in, and it positions Tines as one of the few workflow platforms with audited governance specifically over how its AI behaves, not just how it handles data.

It’s used by a wide range of companies — Box, Canva, Databricks, Mars, and Reddit among the names that show up publicly — and remains a strong fit for mid-market SOC teams that want a genuinely low-code platform rather than something that demands engineering resource to run.

Next in this series: Dropzone AI, one of the pure-play “AI SOC analyst” startups.

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